CIS 662 FLIGHT PROJECT 2024.ipynb

{
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  {
   "cell_type": "markdown",
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   "source": [
    "## CIS 662 Intro to Machine Learning and Algorithms\n",
    "### Flight delay prediction project - group 10\n",
    "### Team Members:\n",
    "###                            Vikas Papana\n",
    "###                            Ajay Hemanshu Desai\n",
    "###                            Hemil Anip Shah\n",
    "###                            Rangel Anselm Koli"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Generic inputs for most ML tasks\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn import tree\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "import xgboost as xgb\n",
    "from sklearn.metrics import accuracy_score, classification_report\n",
    "\n",
    "pd.options.display.float_format = '{:,.2f}'.format\n",
    "from IPython.display import display, HTML"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Flight Data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Fetching, reading and preprocessing flight data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Carrier Code</th>\n",
       "      <th>Date (MM/DD/YYYY)</th>\n",
       "      <th>Flight Number</th>\n",
       "      <th>Tail Number</th>\n",
       "      <th>Origin Airport</th>\n",
       "      <th>Scheduled Arrival Time</th>\n",
       "      <th>Actual Arrival Time</th>\n",
       "      <th>Scheduled Elapsed Time (Minutes)</th>\n",
       "      <th>Actual Elapsed Time (Minutes)</th>\n",
       "      <th>Arrival Delay (Minutes)</th>\n",
       "      <th>Wheels-on Time</th>\n",
       "      <th>Taxi-In time (Minutes)</th>\n",
       "      <th>Delay Carrier (Minutes)</th>\n",
       "      <th>Delay Weather (Minutes)</th>\n",
       "      <th>Delay National Aviation System (Minutes)</th>\n",
       "      <th>Delay Security (Minutes)</th>\n",
       "      <th>Delay Late Aircraft Arrival (Minutes)</th>\n",
       "    </tr>\n",
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       "      <td>15:37</td>\n",
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       "      <th>2</th>\n",
       "      <td>MQ</td>\n",
       "      <td>2023-01-02</td>\n",
       "      <td>3392</td>\n",
       "      <td>N248NN</td>\n",
       "      <td>ORD</td>\n",
       "      <td>2024-05-02 20:19:00</td>\n",
       "      <td>20:12</td>\n",
       "      <td>106</td>\n",
       "      <td>102</td>\n",
       "      <td>-7</td>\n",
       "      <td>20:08</td>\n",
       "      <td>4</td>\n",
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       "      <th>3</th>\n",
       "      <td>MQ</td>\n",
       "      <td>2023-01-02</td>\n",
       "      <td>3518</td>\n",
       "      <td>N263NN</td>\n",
       "      <td>ORD</td>\n",
       "      <td>2024-05-02 16:02:00</td>\n",
       "      <td>15:56</td>\n",
       "      <td>117</td>\n",
       "      <td>112</td>\n",
       "      <td>-6</td>\n",
       "      <td>15:52</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MQ</td>\n",
       "      <td>2023-01-03</td>\n",
       "      <td>3392</td>\n",
       "      <td>N276NN</td>\n",
       "      <td>ORD</td>\n",
       "      <td>2024-05-02 20:19:00</td>\n",
       "      <td>20:57</td>\n",
       "      <td>106</td>\n",
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       "      <td>20:52</td>\n",
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       "      <td>7</td>\n",
       "      <td>0</td>\n",
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       "  Carrier Code Date (MM/DD/YYYY)  Flight Number Tail Number Origin Airport  \\\n",
       "0           MQ        2023-01-01           3392      N283NN            ORD   \n",
       "1           MQ        2023-01-01           3518      N213NN            ORD   \n",
       "2           MQ        2023-01-02           3392      N248NN            ORD   \n",
       "3           MQ        2023-01-02           3518      N263NN            ORD   \n",
       "4           MQ        2023-01-03           3392      N276NN            ORD   \n",
       "\n",
       "  Scheduled Arrival Time Actual Arrival Time  \\\n",
       "0    2024-05-02 21:16:00               21:08   \n",
       "1    2024-05-02 16:02:00               15:37   \n",
       "2    2024-05-02 20:19:00               20:12   \n",
       "3    2024-05-02 16:02:00               15:56   \n",
       "4    2024-05-02 20:19:00               20:57   \n",
       "\n",
       "   Scheduled Elapsed Time (Minutes)  Actual Elapsed Time (Minutes)  \\\n",
       "0                               111                            104   \n",
       "1                               117                             96   \n",
       "2                               106                            102   \n",
       "3                               117                            112   \n",
       "4                               106                            113   \n",
       "\n",
       "   Arrival Delay (Minutes) Wheels-on Time  Taxi-In time (Minutes)  \\\n",
       "0                       -8          21:02                       6   \n",
       "1                      -25          15:33                       4   \n",
       "2                       -7          20:08                       4   \n",
       "3                       -6          15:52                       4   \n",
       "4                       38          20:52                       5   \n",
       "\n",
       "   Delay Carrier (Minutes)  Delay Weather (Minutes)  \\\n",
       "0                        0                        0   \n",
       "1                        0                        0   \n",
       "2                        0                        0   \n",
       "3                        0                        0   \n",
       "4                       19                        0   \n",
       "\n",
       "   Delay National Aviation System (Minutes)  Delay Security (Minutes)  \\\n",
       "0                                         0                         0   \n",
       "1                                         0                         0   \n",
       "2                                         0                         0   \n",
       "3                                         0                         0   \n",
       "4                                         7                         0   \n",
       "\n",
       "   Delay Late Aircraft Arrival (Minutes)  \n",
       "0                                      0  \n",
       "1                                      0  \n",
       "2                                      0  \n",
       "3                                      0  \n",
       "4                                     12  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Reading Arrival flights data\n",
    "Arrival_data = pd.read_csv(r\"C:\\Users\\VIKAS\\Documents\\Intro to ML\\Project\\datasets\\Arrival_data.csv\", \n",
    "                           parse_dates = ['Date (MM/DD/YYYY)', 'Scheduled Arrival Time'])\n",
    "\n",
    "Arrival_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Carrier Code', 'Date (MM/DD/YYYY)', 'Flight Number', 'Tail Number',\n",
       "       'Origin Airport', 'Scheduled Arrival Time', 'Actual Arrival Time',\n",
       "       'Scheduled Elapsed Time (Minutes)', 'Actual Elapsed Time (Minutes)',\n",
       "       'Arrival Delay (Minutes)', 'Wheels-on Time', 'Taxi-In time (Minutes)',\n",
       "       'Delay Carrier (Minutes)', 'Delay Weather (Minutes)',\n",
       "       'Delay National Aviation System (Minutes)', 'Delay Security (Minutes)',\n",
       "       'Delay Late Aircraft Arrival (Minutes)'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Arrival_data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "      <th>Wheels-off time</th>\n",
       "      <th>Taxi-Out time (Minutes)</th>\n",
       "      <th>Delay Carrier (Minutes)</th>\n",
       "      <th>Delay Weather (Minutes)</th>\n",
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       "      <td>MQ</td>\n",
       "      <td>2023-01-01</td>\n",
       "      <td>3322</td>\n",
       "      <td>N902BC</td>\n",
       "      <td>COU</td>\n",
       "      <td>2024-05-02 12:55:00</td>\n",
       "      <td>12:52</td>\n",
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       "      <td>80</td>\n",
       "      <td>-3</td>\n",
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       "      <td>3324</td>\n",
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       "  Carrier Code Date (MM/DD/YYYY)  Flight Number Tail Number  \\\n",
       "0           MQ        2023-01-01           3305      N663AR   \n",
       "1           MQ        2023-01-01           3309      N939AE   \n",
       "2           MQ        2023-01-01           3315      N689EC   \n",
       "3           MQ        2023-01-01           3322      N902BC   \n",
       "4           MQ        2023-01-01           3324      N267NN   \n",
       "\n",
       "  Destination Airport Scheduled departure time Actual departure time  \\\n",
       "0                 COU      2024-05-02 19:35:00                 19:34   \n",
       "1                 MKE      2024-05-02 09:30:00                  9:27   \n",
       "2                 ALO      2024-05-02 09:00:00                  8:50   \n",
       "3                 COU      2024-05-02 12:55:00                 12:52   \n",
       "4                 AUS      2024-05-02 19:15:00                 19:08   \n",
       "\n",
       "   Scheduled elapsed time (Minutes)  Actual elapsed time (Minutes)  \\\n",
       "0                                81                             97   \n",
       "1                                68                             53   \n",
       "2                                85                             60   \n",
       "3                                85                             80   \n",
       "4                               172                            167   \n",
       "\n",
       "   Departure delay (Minutes) Wheels-off time  Taxi-Out time (Minutes)  \\\n",
       "0                         -1           20:08                       34   \n",
       "1                         -3            9:53                       26   \n",
       "2                        -10            9:06                       16   \n",
       "3                         -3           13:11                       19   \n",
       "4                         -7           19:23                       15   \n",
       "\n",
       "   Delay Carrier (Minutes)  Delay Weather (Minutes)  \\\n",
       "0                        0                        0   \n",
       "1                        0                        0   \n",
       "2                        0                        0   \n",
       "3                        0                        0   \n",
       "4                        0                        0   \n",
       "\n",
       "   Delay National Aviation System (Minutes)  Delay Security (Minutes)  \\\n",
       "0                                        15                         0   \n",
       "1                                         0                         0   \n",
       "2                                         0                         0   \n",
       "3                                         0                         0   \n",
       "4                                         0                         0   \n",
       "\n",
       "   Delay Late Aircraft Arrival (Minutes)  \n",
       "0                                      0  \n",
       "1                                      0  \n",
       "2                                      0  \n",
       "3                                      0  \n",
       "4                                      0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Reading departure flights data\n",
    "Departure_data = pd.read_csv(r\"C:\\Users\\VIKAS\\Documents\\Intro to ML\\Project\\datasets\\Departure_data.csv\", \n",
    "                            parse_dates = ['Date (MM/DD/YYYY)', 'Scheduled departure time'])\n",
    "\n",
    "Departure_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Carrier Code', 'Date (MM/DD/YYYY)', 'Flight Number', 'Tail Number',\n",
       "       'Destination Airport', 'Scheduled departure time',\n",
       "       'Actual departure time', 'Scheduled elapsed time (Minutes)',\n",
       "       'Actual elapsed time (Minutes)', 'Departure delay (Minutes)',\n",
       "       'Wheels-off time', 'Taxi-Out time (Minutes)', 'Delay Carrier (Minutes)',\n",
       "       'Delay Weather (Minutes)', 'Delay National Aviation System (Minutes)',\n",
       "       'Delay Security (Minutes)', 'Delay Late Aircraft Arrival (Minutes)'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Departure_data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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       "      <th>Carrier Code</th>\n",
       "      <th>Date (MM/DD/YYYY)</th>\n",
       "      <th>Flight Number</th>\n",
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       "      <td>2023-01-01</td>\n",
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       "      <th>2</th>\n",
       "      <td>MQ</td>\n",
       "      <td>2023-01-02</td>\n",
       "      <td>3392</td>\n",
       "      <td>ORD</td>\n",
       "      <td>2024-05-02 20:19:00</td>\n",
       "      <td>-7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MQ</td>\n",
       "      <td>2023-01-02</td>\n",
       "      <td>3518</td>\n",
       "      <td>ORD</td>\n",
       "      <td>2024-05-02 16:02:00</td>\n",
       "      <td>-6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MQ</td>\n",
       "      <td>2023-01-03</td>\n",
       "      <td>3392</td>\n",
       "      <td>ORD</td>\n",
       "      <td>2024-05-02 20:19:00</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Carrier Code Date (MM/DD/YYYY)  Flight Number Origin Airport  \\\n",
       "0           MQ        2023-01-01           3392            ORD   \n",
       "1           MQ        2023-01-01           3518            ORD   \n",
       "2           MQ        2023-01-02           3392            ORD   \n",
       "3           MQ        2023-01-02           3518            ORD   \n",
       "4           MQ        2023-01-03           3392            ORD   \n",
       "\n",
       "  Scheduled Arrival Time  Arrival Delay (Minutes)  \n",
       "0    2024-05-02 21:16:00                       -8  \n",
       "1    2024-05-02 16:02:00                      -25  \n",
       "2    2024-05-02 20:19:00                       -7  \n",
       "3    2024-05-02 16:02:00                       -6  \n",
       "4    2024-05-02 20:19:00                       38  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Filtering data - flights from Chicago, New York and Orlando airports\n",
    "Arrival_data = Arrival_data[Arrival_data['Origin Airport'].isin({'ORD', 'JFK', 'MCO'})]\n",
    "Arrival_data = Arrival_data[['Carrier Code', 'Date (MM/DD/YYYY)', 'Flight Number', 'Origin Airport', \n",
    "                             'Scheduled Arrival Time', 'Arrival Delay (Minutes)']]\n",
    "\n",
    "Arrival_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Carrier Code</th>\n",
       "      <th>Date (MM/DD/YYYY)</th>\n",
       "      <th>Flight Number</th>\n",
       "      <th>Destination Airport</th>\n",
       "      <th>Scheduled departure time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>MQ</td>\n",
       "      <td>2023-01-01</td>\n",
       "      <td>3392</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 18:25:00</td>\n",
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       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>MQ</td>\n",
       "      <td>2023-01-01</td>\n",
       "      <td>3518</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 13:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>MQ</td>\n",
       "      <td>2023-01-02</td>\n",
       "      <td>3392</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 17:33:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>MQ</td>\n",
       "      <td>2023-01-02</td>\n",
       "      <td>3518</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 13:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>MQ</td>\n",
       "      <td>2023-01-03</td>\n",
       "      <td>3392</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 17:33:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Carrier Code Date (MM/DD/YYYY)  Flight Number Destination Airport  \\\n",
       "15            MQ        2023-01-01           3392                 SYR   \n",
       "29            MQ        2023-01-01           3518                 SYR   \n",
       "134           MQ        2023-01-02           3392                 SYR   \n",
       "150           MQ        2023-01-02           3518                 SYR   \n",
       "272           MQ        2023-01-03           3392                 SYR   \n",
       "\n",
       "    Scheduled departure time  \n",
       "15       2024-05-02 18:25:00  \n",
       "29       2024-05-02 13:05:00  \n",
       "134      2024-05-02 17:33:00  \n",
       "150      2024-05-02 13:05:00  \n",
       "272      2024-05-02 17:33:00  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Filtering data - Flights reaching syracuse airport\n",
    "Departure_data = Departure_data[Departure_data['Destination Airport'].isin({'SYR'})]\n",
    "Departure_data = Departure_data[['Carrier Code', 'Date (MM/DD/YYYY)', 'Flight Number',\n",
    "                                 'Destination Airport', 'Scheduled departure time']]\n",
    "\n",
    "Departure_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Carrier Code</th>\n",
       "      <th>Date (MM/DD/YYYY)</th>\n",
       "      <th>Flight Number</th>\n",
       "      <th>Origin Airport</th>\n",
       "      <th>Scheduled Arrival Time</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MQ</td>\n",
       "      <td>2023-01-01</td>\n",
       "      <td>3392</td>\n",
       "      <td>ORD</td>\n",
       "      <td>2024-05-02 21:16:00</td>\n",
       "      <td>-8</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 18:25:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MQ</td>\n",
       "      <td>2023-01-01</td>\n",
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       "      <td>ORD</td>\n",
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       "      <td>-25</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 13:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MQ</td>\n",
       "      <td>2023-01-02</td>\n",
       "      <td>3392</td>\n",
       "      <td>ORD</td>\n",
       "      <td>2024-05-02 20:19:00</td>\n",
       "      <td>-7</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 17:33:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MQ</td>\n",
       "      <td>2023-01-02</td>\n",
       "      <td>3518</td>\n",
       "      <td>ORD</td>\n",
       "      <td>2024-05-02 16:02:00</td>\n",
       "      <td>-6</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 13:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MQ</td>\n",
       "      <td>2023-01-03</td>\n",
       "      <td>3392</td>\n",
       "      <td>ORD</td>\n",
       "      <td>2024-05-02 20:19:00</td>\n",
       "      <td>38</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 17:33:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Carrier Code Date (MM/DD/YYYY)  Flight Number Origin Airport  \\\n",
       "0           MQ        2023-01-01           3392            ORD   \n",
       "1           MQ        2023-01-01           3518            ORD   \n",
       "2           MQ        2023-01-02           3392            ORD   \n",
       "3           MQ        2023-01-02           3518            ORD   \n",
       "4           MQ        2023-01-03           3392            ORD   \n",
       "\n",
       "  Scheduled Arrival Time  Arrival Delay (Minutes) Destination Airport  \\\n",
       "0    2024-05-02 21:16:00                       -8                 SYR   \n",
       "1    2024-05-02 16:02:00                      -25                 SYR   \n",
       "2    2024-05-02 20:19:00                       -7                 SYR   \n",
       "3    2024-05-02 16:02:00                       -6                 SYR   \n",
       "4    2024-05-02 20:19:00                       38                 SYR   \n",
       "\n",
       "  Scheduled departure time  \n",
       "0      2024-05-02 18:25:00  \n",
       "1      2024-05-02 13:05:00  \n",
       "2      2024-05-02 17:33:00  \n",
       "3      2024-05-02 13:05:00  \n",
       "4      2024-05-02 17:33:00  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merging Arrival data and departure data based on carrier code , date and flight number\n",
    "Flight_data = pd.merge(Arrival_data, Departure_data, on = ['Carrier Code', 'Date (MM/DD/YYYY)', \n",
    "                                                           'Flight Number'])\n",
    "\n",
    "Flight_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
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       "      <th></th>\n",
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       "      <th>Date (MM/DD/YYYY)</th>\n",
       "      <th>Flight Number</th>\n",
       "      <th>Origin Airport</th>\n",
       "      <th>Scheduled Arrival Time</th>\n",
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       "      <th>Destination Airport</th>\n",
       "      <th>Scheduled departure time</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>MQ</td>\n",
       "      <td>2023-06-01</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>2024-05-02 22:32:00</td>\n",
       "      <td>57</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 19:42:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>MQ</td>\n",
       "      <td>2023-06-02</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>2024-05-02 22:32:00</td>\n",
       "      <td>2</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 19:42:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>MQ</td>\n",
       "      <td>2023-06-03</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>2024-05-02 23:41:00</td>\n",
       "      <td>-15</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 20:46:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>MQ</td>\n",
       "      <td>2023-06-04</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>2024-05-02 22:28:00</td>\n",
       "      <td>0</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 19:39:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>MQ</td>\n",
       "      <td>2023-06-05</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>2024-05-02 22:28:00</td>\n",
       "      <td>-7</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 19:39:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Carrier Code Date (MM/DD/YYYY)  Flight Number Origin Airport  \\\n",
       "71           MQ        2023-06-01           3402            ORD   \n",
       "73           MQ        2023-06-02           3402            ORD   \n",
       "75           MQ        2023-06-03           3402            ORD   \n",
       "77           MQ        2023-06-04           3402            ORD   \n",
       "79           MQ        2023-06-05           3402            ORD   \n",
       "\n",
       "   Scheduled Arrival Time  Arrival Delay (Minutes) Destination Airport  \\\n",
       "71    2024-05-02 22:32:00                       57                 SYR   \n",
       "73    2024-05-02 22:32:00                        2                 SYR   \n",
       "75    2024-05-02 23:41:00                      -15                 SYR   \n",
       "77    2024-05-02 22:28:00                        0                 SYR   \n",
       "79    2024-05-02 22:28:00                       -7                 SYR   \n",
       "\n",
       "   Scheduled departure time  \n",
       "71      2024-05-02 19:42:00  \n",
       "73      2024-05-02 19:42:00  \n",
       "75      2024-05-02 20:46:00  \n",
       "77      2024-05-02 19:39:00  \n",
       "79      2024-05-02 19:39:00  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Flight_data = Flight_data[Flight_data['Flight Number'].isin({538, 3402, 116, 5340, 491, 56, 656})]\n",
    "Flight_data['Flight Number'].replace(56,656,inplace=True)\n",
    "\n",
    "Flight_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Date_MM</th>\n",
       "      <th>Date_DD</th>\n",
       "      <th>Carrier</th>\n",
       "      <th>Flight_num</th>\n",
       "      <th>Origin</th>\n",
       "      <th>Dest</th>\n",
       "      <th>Arr_t_h</th>\n",
       "      <th>Arr_t_m</th>\n",
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       "      <th>Depart_t_m</th>\n",
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       "  <tbody>\n",
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       "      <th>71</th>\n",
       "      <td>2023-06-01</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>22</td>\n",
       "      <td>32</td>\n",
       "      <td>19</td>\n",
       "      <td>42</td>\n",
       "      <td>Late</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
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       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>22</td>\n",
       "      <td>32</td>\n",
       "      <td>19</td>\n",
       "      <td>42</td>\n",
       "      <td>On Time</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>2023-06-03</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>23</td>\n",
       "      <td>41</td>\n",
       "      <td>20</td>\n",
       "      <td>46</td>\n",
       "      <td>Early</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>2023-06-04</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>22</td>\n",
       "      <td>28</td>\n",
       "      <td>19</td>\n",
       "      <td>39</td>\n",
       "      <td>On Time</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>2023-06-05</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>22</td>\n",
       "      <td>28</td>\n",
       "      <td>19</td>\n",
       "      <td>39</td>\n",
       "      <td>Early</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date  Date_MM  Date_DD Carrier  Flight_num Origin Dest  Arr_t_h  \\\n",
       "71 2023-06-01        6        1      MQ        3402    ORD  SYR       22   \n",
       "73 2023-06-02        6        2      MQ        3402    ORD  SYR       22   \n",
       "75 2023-06-03        6        3      MQ        3402    ORD  SYR       23   \n",
       "77 2023-06-04        6        4      MQ        3402    ORD  SYR       22   \n",
       "79 2023-06-05        6        5      MQ        3402    ORD  SYR       22   \n",
       "\n",
       "    Arr_t_m  Depart_t_h  Depart_t_m Arr_Status  \n",
       "71       32          19          42       Late  \n",
       "73       32          19          42    On Time  \n",
       "75       41          20          46      Early  \n",
       "77       28          19          39    On Time  \n",
       "79       28          19          39      Early  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Flight_data['Date'] = Flight_data['Date (MM/DD/YYYY)']\n",
    "Flight_data['Date_MM'] = Flight_data['Date'].dt.month\n",
    "Flight_data['Date_DD'] = Flight_data['Date'].dt.day\n",
    "\n",
    "Flight_data['Carrier'] = Flight_data['Carrier Code']\n",
    "Flight_data['Flight_num'] = Flight_data['Flight Number']\n",
    "Flight_data['Origin'] = Flight_data['Origin Airport']\n",
    "Flight_data['Dest'] = Flight_data['Destination Airport']\n",
    "\n",
    "Flight_data['Arr_t_h'] = Flight_data['Scheduled Arrival Time'].dt.hour\n",
    "Flight_data['Arr_t_m'] = Flight_data['Scheduled Arrival Time'].dt.minute\n",
    "Flight_data['Depart_t_h'] = Flight_data['Scheduled departure time'].dt.hour\n",
    "Flight_data['Depart_t_m'] = Flight_data['Scheduled departure time'].dt.minute\n",
    "\n",
    "\n",
    "def categorize_arrival_delay(delay):\n",
    "    if delay <= -5:\n",
    "        return 'Early'\n",
    "    elif delay <= 5:\n",
    "        return 'On Time'\n",
    "    else:\n",
    "        return 'Late'\n",
    "Flight_data['Arr_Status'] = Flight_data['Arrival Delay (Minutes)'].apply(categorize_arrival_delay)\n",
    "\n",
    "Flight_data.drop(columns = ['Date (MM/DD/YYYY)', 'Carrier Code', 'Flight Number', 'Origin Airport', \n",
    "                            'Destination Airport', 'Scheduled Arrival Time', 'Scheduled departure time', \n",
    "                            'Arrival Delay (Minutes)'], inplace = True)\n",
    "\n",
    "Flight_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'9E', 'B6', 'MQ', 'UA', 'WN'}"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set(Flight_data['Carrier'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{116, 491, 538, 656, 3402, 5340}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set(Flight_data['Flight_num'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'JFK', 'MCO', 'ORD'}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set(Flight_data['Origin'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'SYR'}"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set(Flight_data['Dest'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Early', 'Late', 'On Time'}"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set(Flight_data['Arr_Status'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Date_MM</th>\n",
       "      <th>Date_DD</th>\n",
       "      <th>Carrier</th>\n",
       "      <th>Flight_num</th>\n",
       "      <th>Origin</th>\n",
       "      <th>Dest</th>\n",
       "      <th>Arr_t_h</th>\n",
       "      <th>Arr_t_m</th>\n",
       "      <th>Depart_t_h</th>\n",
       "      <th>Depart_t_m</th>\n",
       "      <th>Arr_Status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2023-06-01</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>22</td>\n",
       "      <td>32</td>\n",
       "      <td>19</td>\n",
       "      <td>42</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2023-06-02</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>22</td>\n",
       "      <td>32</td>\n",
       "      <td>19</td>\n",
       "      <td>42</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>2023-06-03</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>23</td>\n",
       "      <td>41</td>\n",
       "      <td>20</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>2023-06-04</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>22</td>\n",
       "      <td>28</td>\n",
       "      <td>19</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>2023-06-05</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>22</td>\n",
       "      <td>28</td>\n",
       "      <td>19</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date  Date_MM  Date_DD Carrier  Flight_num Origin Dest  Arr_t_h  \\\n",
       "71 2023-06-01        6        1      MQ        3402    ORD  SYR       22   \n",
       "73 2023-06-02        6        2      MQ        3402    ORD  SYR       22   \n",
       "75 2023-06-03        6        3      MQ        3402    ORD  SYR       23   \n",
       "77 2023-06-04        6        4      MQ        3402    ORD  SYR       22   \n",
       "79 2023-06-05        6        5      MQ        3402    ORD  SYR       22   \n",
       "\n",
       "    Arr_t_m  Depart_t_h  Depart_t_m  Arr_Status  \n",
       "71       32          19          42           2  \n",
       "73       32          19          42           1  \n",
       "75       41          20          46           0  \n",
       "77       28          19          39           1  \n",
       "79       28          19          39           0  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Flight_data['Arr_Status'].replace(\"Early\",0,inplace=True)\n",
    "Flight_data['Arr_Status'].replace(\"On Time\",1,inplace=True)\n",
    "Flight_data['Arr_Status'].replace(\"Late\",2,inplace=True)\n",
    "\n",
    "Flight_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(940, 12)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Flight_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date          0\n",
       "Date_MM       0\n",
       "Date_DD       0\n",
       "Carrier       0\n",
       "Flight_num    0\n",
       "Origin        0\n",
       "Dest          0\n",
       "Arr_t_h       0\n",
       "Arr_t_m       0\n",
       "Depart_t_h    0\n",
       "Depart_t_m    0\n",
       "Arr_Status    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Flight_data.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Weather Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Fetching, reading and preproessing Syracuse weather data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>datetime</th>\n",
       "      <th>clouds</th>\n",
       "      <th>temp</th>\n",
       "      <th>max_temp</th>\n",
       "      <th>min_temp</th>\n",
       "      <th>wind_dir</th>\n",
       "      <th>max_wind_dir</th>\n",
       "      <th>wind_spd</th>\n",
       "      <th>max_wind_spd</th>\n",
       "      <th>wind_gust_spd</th>\n",
       "      <th>...</th>\n",
       "      <th>snow_depth</th>\n",
       "      <th>precip</th>\n",
       "      <th>precip_gpm</th>\n",
       "      <th>pres</th>\n",
       "      <th>solar_rad</th>\n",
       "      <th>t_solar_rad</th>\n",
       "      <th>uv</th>\n",
       "      <th>dewpt</th>\n",
       "      <th>rh</th>\n",
       "      <th>slp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-01-01</td>\n",
       "      <td>100</td>\n",
       "      <td>5.10</td>\n",
       "      <td>10.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>274</td>\n",
       "      <td>274</td>\n",
       "      <td>4.00</td>\n",
       "      <td>10.30</td>\n",
       "      <td>10.80</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.50</td>\n",
       "      <td>1.50</td>\n",
       "      <td>998</td>\n",
       "      <td>38</td>\n",
       "      <td>900</td>\n",
       "      <td>0.80</td>\n",
       "      <td>1.90</td>\n",
       "      <td>80</td>\n",
       "      <td>1013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-01-02</td>\n",
       "      <td>100</td>\n",
       "      <td>5.50</td>\n",
       "      <td>7.80</td>\n",
       "      <td>3.90</td>\n",
       "      <td>207</td>\n",
       "      <td>207</td>\n",
       "      <td>2.20</td>\n",
       "      <td>5.40</td>\n",
       "      <td>7.20</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1004</td>\n",
       "      <td>25</td>\n",
       "      <td>607</td>\n",
       "      <td>0.70</td>\n",
       "      <td>1.70</td>\n",
       "      <td>77</td>\n",
       "      <td>1019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-01-03</td>\n",
       "      <td>99</td>\n",
       "      <td>4.30</td>\n",
       "      <td>5.00</td>\n",
       "      <td>2.20</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>2.30</td>\n",
       "      <td>5.80</td>\n",
       "      <td>5.60</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>996</td>\n",
       "      <td>9</td>\n",
       "      <td>209</td>\n",
       "      <td>0.70</td>\n",
       "      <td>2.40</td>\n",
       "      <td>88</td>\n",
       "      <td>1011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-01-04</td>\n",
       "      <td>100</td>\n",
       "      <td>6.20</td>\n",
       "      <td>7.20</td>\n",
       "      <td>5.00</td>\n",
       "      <td>140</td>\n",
       "      <td>140</td>\n",
       "      <td>2.40</td>\n",
       "      <td>6.70</td>\n",
       "      <td>12.40</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>12.30</td>\n",
       "      <td>12.30</td>\n",
       "      <td>993</td>\n",
       "      <td>9</td>\n",
       "      <td>211</td>\n",
       "      <td>0.70</td>\n",
       "      <td>5.30</td>\n",
       "      <td>93</td>\n",
       "      <td>1008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-01-05</td>\n",
       "      <td>82</td>\n",
       "      <td>6.00</td>\n",
       "      <td>8.90</td>\n",
       "      <td>2.30</td>\n",
       "      <td>217</td>\n",
       "      <td>217</td>\n",
       "      <td>2.40</td>\n",
       "      <td>8.90</td>\n",
       "      <td>10.80</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>998</td>\n",
       "      <td>48</td>\n",
       "      <td>1158</td>\n",
       "      <td>1.10</td>\n",
       "      <td>1.80</td>\n",
       "      <td>75</td>\n",
       "      <td>1013</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    datetime  clouds  temp  max_temp  min_temp  wind_dir  max_wind_dir  \\\n",
       "0 2023-01-01     100  5.10     10.00      3.00       274           274   \n",
       "1 2023-01-02     100  5.50      7.80      3.90       207           207   \n",
       "2 2023-01-03      99  4.30      5.00      2.20        86            86   \n",
       "3 2023-01-04     100  6.20      7.20      5.00       140           140   \n",
       "4 2023-01-05      82  6.00      8.90      2.30       217           217   \n",
       "\n",
       "   wind_spd  max_wind_spd  wind_gust_spd  ...  snow_depth  precip  precip_gpm  \\\n",
       "0      4.00         10.30          10.80  ...        0.00    1.50        1.50   \n",
       "1      2.20          5.40           7.20  ...        0.00    0.00        0.00   \n",
       "2      2.30          5.80           5.60  ...        0.00    8.50        8.50   \n",
       "3      2.40          6.70          12.40  ...        0.00   12.30       12.30   \n",
       "4      2.40          8.90          10.80  ...        0.00    5.00        5.00   \n",
       "\n",
       "   pres  solar_rad  t_solar_rad   uv  dewpt  rh   slp  \n",
       "0   998         38          900 0.80   1.90  80  1013  \n",
       "1  1004         25          607 0.70   1.70  77  1019  \n",
       "2   996          9          209 0.70   2.40  88  1011  \n",
       "3   993          9          211 0.70   5.30  93  1008  \n",
       "4   998         48         1158 1.10   1.80  75  1013  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Fetching syracuse weather data for the year 2023\n",
    "SYR_weather = pd.read_excel(r\"C:\\Users\\VIKAS\\Documents\\Intro to ML\\Project\\datasets\\SYR_weather_2023.xlsx\", \n",
    "                            parse_dates = ['datetime'])\n",
    "SYR_weather.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(364, 21)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SYR_weather.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime         0\n",
       "clouds           0\n",
       "temp             0\n",
       "max_temp         0\n",
       "min_temp         0\n",
       "wind_dir         0\n",
       "max_wind_dir     0\n",
       "wind_spd         0\n",
       "max_wind_spd     0\n",
       "wind_gust_spd    0\n",
       "snow             0\n",
       "snow_depth       0\n",
       "precip           0\n",
       "precip_gpm       0\n",
       "pres             0\n",
       "solar_rad        0\n",
       "t_solar_rad      0\n",
       "uv               0\n",
       "dewpt            0\n",
       "rh               0\n",
       "slp              0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SYR_weather.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['datetime', 'clouds', 'temp', 'max_temp', 'min_temp', 'wind_dir',\n",
       "       'wind_spd', 'wind_gust_spd', 'snow', 'snow_depth', 'precip', 'pres',\n",
       "       'uv', 'dewpt', 'rh', 'slp'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SYR_weather.drop(columns = ['max_wind_dir', 'max_wind_spd', 'precip_gpm', 'solar_rad', 't_solar_rad'], \n",
    "                 inplace = True)\n",
    "\n",
    "SYR_weather.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(364, 16)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SYR_weather.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Flight weather data - main dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date_MM</th>\n",
       "      <th>Date_DD</th>\n",
       "      <th>Carrier</th>\n",
       "      <th>Flight_num</th>\n",
       "      <th>Origin</th>\n",
       "      <th>Dest</th>\n",
       "      <th>Arr_t_h</th>\n",
       "      <th>Arr_t_m</th>\n",
       "      <th>Depart_t_h</th>\n",
       "      <th>Depart_t_m</th>\n",
       "      <th>...</th>\n",
       "      <th>wind_spd</th>\n",
       "      <th>wind_gust_spd</th>\n",
       "      <th>snow</th>\n",
       "      <th>snow_depth</th>\n",
       "      <th>precip</th>\n",
       "      <th>pres</th>\n",
       "      <th>uv</th>\n",
       "      <th>dewpt</th>\n",
       "      <th>rh</th>\n",
       "      <th>slp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>22</td>\n",
       "      <td>32</td>\n",
       "      <td>19</td>\n",
       "      <td>42</td>\n",
       "      <td>...</td>\n",
       "      <td>1.60</td>\n",
       "      <td>7.60</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1003</td>\n",
       "      <td>10.10</td>\n",
       "      <td>10.80</td>\n",
       "      <td>47</td>\n",
       "      <td>1018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>14</td>\n",
       "      <td>42</td>\n",
       "      <td>13</td>\n",
       "      <td>30</td>\n",
       "      <td>...</td>\n",
       "      <td>1.60</td>\n",
       "      <td>7.60</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1003</td>\n",
       "      <td>10.10</td>\n",
       "      <td>10.80</td>\n",
       "      <td>47</td>\n",
       "      <td>1018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>B6</td>\n",
       "      <td>656</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>19</td>\n",
       "      <td>2</td>\n",
       "      <td>16</td>\n",
       "      <td>15</td>\n",
       "      <td>...</td>\n",
       "      <td>1.60</td>\n",
       "      <td>7.60</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1003</td>\n",
       "      <td>10.10</td>\n",
       "      <td>10.80</td>\n",
       "      <td>47</td>\n",
       "      <td>1018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>9E</td>\n",
       "      <td>5340</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>30</td>\n",
       "      <td>...</td>\n",
       "      <td>1.60</td>\n",
       "      <td>7.60</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1003</td>\n",
       "      <td>10.10</td>\n",
       "      <td>10.80</td>\n",
       "      <td>47</td>\n",
       "      <td>1018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>...</td>\n",
       "      <td>1.60</td>\n",
       "      <td>7.60</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1003</td>\n",
       "      <td>10.10</td>\n",
       "      <td>10.80</td>\n",
       "      <td>47</td>\n",
       "      <td>1018</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Date_MM  Date_DD Carrier  Flight_num Origin Dest  Arr_t_h  Arr_t_m  \\\n",
       "0        6        1      MQ        3402    ORD  SYR       22       32   \n",
       "1        6        1      B6         116    JFK  SYR       14       42   \n",
       "2        6        1      B6         656    MCO  SYR       19        2   \n",
       "3        6        1      9E        5340    JFK  SYR        0        4   \n",
       "4        6        1      UA         538    ORD  SYR       21        9   \n",
       "\n",
       "   Depart_t_h  Depart_t_m  ...  wind_spd  wind_gust_spd  snow  snow_depth  \\\n",
       "0          19          42  ...      1.60           7.60  0.00        0.00   \n",
       "1          13          30  ...      1.60           7.60  0.00        0.00   \n",
       "2          16          15  ...      1.60           7.60  0.00        0.00   \n",
       "3          22          30  ...      1.60           7.60  0.00        0.00   \n",
       "4          18          18  ...      1.60           7.60  0.00        0.00   \n",
       "\n",
       "   precip  pres    uv  dewpt  rh   slp  \n",
       "0    0.00  1003 10.10  10.80  47  1018  \n",
       "1    0.00  1003 10.10  10.80  47  1018  \n",
       "2    0.00  1003 10.10  10.80  47  1018  \n",
       "3    0.00  1003 10.10  10.80  47  1018  \n",
       "4    0.00  1003 10.10  10.80  47  1018  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merging flight data and weather data\n",
    "Flight_weather = pd.merge(Flight_data, SYR_weather, left_on='Date', right_on='datetime')\n",
    "\n",
    "Flight_weather.drop(columns = ['datetime', 'Date'], inplace=True)\n",
    "\n",
    "Flight_weather.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(938, 26)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Flight_weather.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Date_MM', 'Date_DD', 'Carrier', 'Flight_num', 'Origin', 'Dest',\n",
       "       'Arr_t_h', 'Arr_t_m', 'Depart_t_h', 'Depart_t_m', 'Arr_Status',\n",
       "       'clouds', 'temp', 'max_temp', 'min_temp', 'wind_dir', 'wind_spd',\n",
       "       'wind_gust_spd', 'snow', 'snow_depth', 'precip', 'pres', 'uv', 'dewpt',\n",
       "       'rh', 'slp'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Flight_weather.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date_MM          0\n",
       "Date_DD          0\n",
       "Carrier          0\n",
       "Flight_num       0\n",
       "Origin           0\n",
       "Dest             0\n",
       "Arr_t_h          0\n",
       "Arr_t_m          0\n",
       "Depart_t_h       0\n",
       "Depart_t_m       0\n",
       "Arr_Status       0\n",
       "clouds           0\n",
       "temp             0\n",
       "max_temp         0\n",
       "min_temp         0\n",
       "wind_dir         0\n",
       "wind_spd         0\n",
       "wind_gust_spd    0\n",
       "snow             0\n",
       "snow_depth       0\n",
       "precip           0\n",
       "pres             0\n",
       "uv               0\n",
       "dewpt            0\n",
       "rh               0\n",
       "slp              0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Flight_weather.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date_MM            int64\n",
       "Date_DD            int64\n",
       "Carrier           object\n",
       "Flight_num         int64\n",
       "Origin            object\n",
       "Dest              object\n",
       "Arr_t_h            int64\n",
       "Arr_t_m            int64\n",
       "Depart_t_h         int64\n",
       "Depart_t_m         int64\n",
       "Arr_Status         int64\n",
       "clouds             int64\n",
       "temp             float64\n",
       "max_temp         float64\n",
       "min_temp         float64\n",
       "wind_dir           int64\n",
       "wind_spd         float64\n",
       "wind_gust_spd    float64\n",
       "snow             float64\n",
       "snow_depth       float64\n",
       "precip           float64\n",
       "pres               int64\n",
       "uv               float64\n",
       "dewpt            float64\n",
       "rh                 int64\n",
       "slp                int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Flight_weather.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date_MM</th>\n",
       "      <th>Date_DD</th>\n",
       "      <th>Flight_num</th>\n",
       "      <th>Arr_t_h</th>\n",
       "      <th>Arr_t_m</th>\n",
       "      <th>Depart_t_h</th>\n",
       "      <th>Depart_t_m</th>\n",
       "      <th>Arr_Status</th>\n",
       "      <th>clouds</th>\n",
       "      <th>temp</th>\n",
       "      <th>...</th>\n",
       "      <th>uv</th>\n",
       "      <th>dewpt</th>\n",
       "      <th>rh</th>\n",
       "      <th>slp</th>\n",
       "      <th>Carrier_B6</th>\n",
       "      <th>Carrier_MQ</th>\n",
       "      <th>Carrier_UA</th>\n",
       "      <th>Carrier_WN</th>\n",
       "      <th>Origin_MCO</th>\n",
       "      <th>Origin_ORD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>32</td>\n",
       "      <td>19</td>\n",
       "      <td>42</td>\n",
       "      <td>2</td>\n",
       "      <td>26</td>\n",
       "      <td>24.30</td>\n",
       "      <td>...</td>\n",
       "      <td>10.10</td>\n",
       "      <td>10.80</td>\n",
       "      <td>47</td>\n",
       "      <td>1018</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>42</td>\n",
       "      <td>13</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>24.30</td>\n",
       "      <td>...</td>\n",
       "      <td>10.10</td>\n",
       "      <td>10.80</td>\n",
       "      <td>47</td>\n",
       "      <td>1018</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>656</td>\n",
       "      <td>19</td>\n",
       "      <td>2</td>\n",
       "      <td>16</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>24.30</td>\n",
       "      <td>...</td>\n",
       "      <td>10.10</td>\n",
       "      <td>10.80</td>\n",
       "      <td>47</td>\n",
       "      <td>1018</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>5340</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>24.30</td>\n",
       "      <td>...</td>\n",
       "      <td>10.10</td>\n",
       "      <td>10.80</td>\n",
       "      <td>47</td>\n",
       "      <td>1018</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>24.30</td>\n",
       "      <td>...</td>\n",
       "      <td>10.10</td>\n",
       "      <td>10.80</td>\n",
       "      <td>47</td>\n",
       "      <td>1018</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Date_MM  Date_DD  Flight_num  Arr_t_h  Arr_t_m  Depart_t_h  Depart_t_m  \\\n",
       "0        6        1        3402       22       32          19          42   \n",
       "1        6        1         116       14       42          13          30   \n",
       "2        6        1         656       19        2          16          15   \n",
       "3        6        1        5340        0        4          22          30   \n",
       "4        6        1         538       21        9          18          18   \n",
       "\n",
       "   Arr_Status  clouds  temp  ...    uv  dewpt  rh   slp  Carrier_B6  \\\n",
       "0           2      26 24.30  ... 10.10  10.80  47  1018           0   \n",
       "1           0      26 24.30  ... 10.10  10.80  47  1018           1   \n",
       "2           0      26 24.30  ... 10.10  10.80  47  1018           1   \n",
       "3           0      26 24.30  ... 10.10  10.80  47  1018           0   \n",
       "4           0      26 24.30  ... 10.10  10.80  47  1018           0   \n",
       "\n",
       "   Carrier_MQ  Carrier_UA  Carrier_WN  Origin_MCO  Origin_ORD  \n",
       "0           1           0           0           0           1  \n",
       "1           0           0           0           0           0  \n",
       "2           0           0           0           1           0  \n",
       "3           0           0           0           0           0  \n",
       "4           0           1           0           0           1  \n",
       "\n",
       "[5 rows x 29 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Flight_weather = pd.get_dummies(Flight_weather, columns = ['Carrier', 'Origin', 'Dest'], \n",
    "                                drop_first = True)\n",
    "\n",
    "Flight_weather.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(938, 29)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Flight_weather.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Date_MM', 'Date_DD', 'Flight_num', 'Arr_t_h', 'Arr_t_m', 'Depart_t_h',\n",
       "       'Depart_t_m', 'Arr_Status', 'clouds', 'temp', 'max_temp', 'min_temp',\n",
       "       'wind_dir', 'wind_spd', 'wind_gust_spd', 'snow', 'snow_depth', 'precip',\n",
       "       'pres', 'uv', 'dewpt', 'rh', 'slp', 'Carrier_B6', 'Carrier_MQ',\n",
       "       'Carrier_UA', 'Carrier_WN', 'Origin_MCO', 'Origin_ORD'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Flight_weather.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date_MM            int64\n",
       "Date_DD            int64\n",
       "Flight_num         int64\n",
       "Arr_t_h            int64\n",
       "Arr_t_m            int64\n",
       "Depart_t_h         int64\n",
       "Depart_t_m         int64\n",
       "Arr_Status         int64\n",
       "clouds             int64\n",
       "temp             float64\n",
       "max_temp         float64\n",
       "min_temp         float64\n",
       "wind_dir           int64\n",
       "wind_spd         float64\n",
       "wind_gust_spd    float64\n",
       "snow             float64\n",
       "snow_depth       float64\n",
       "precip           float64\n",
       "pres               int64\n",
       "uv               float64\n",
       "dewpt            float64\n",
       "rh                 int64\n",
       "slp                int64\n",
       "Carrier_B6         uint8\n",
       "Carrier_MQ         uint8\n",
       "Carrier_UA         uint8\n",
       "Carrier_WN         uint8\n",
       "Origin_MCO         uint8\n",
       "Origin_ORD         uint8\n",
       "dtype: object"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Flight_weather.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Splitting the dataset into train and test sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(Flight_weather.drop(columns = ['Arr_Status']), \n",
    "                                                    Flight_weather['Arr_Status'], test_size=0.2, \n",
    "                                                    random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
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       "      <td>19</td>\n",
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       "      <td>16</td>\n",
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       "      <td>44</td>\n",
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       "      <td>15.60</td>\n",
       "      <td>59</td>\n",
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       "      <td>14</td>\n",
       "      <td>43</td>\n",
       "      <td>13</td>\n",
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       "      <td>98</td>\n",
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       "      <td>7</td>\n",
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       "      <td>80</td>\n",
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       "      <td>34</td>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>7</td>\n",
       "      <td>12</td>\n",
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       "      <td>32</td>\n",
       "      <td>18</td>\n",
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       "</table>\n",
       "<p>750 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Date_MM  Date_DD  Flight_num  Arr_t_h  Arr_t_m  Depart_t_h  Depart_t_m  \\\n",
       "865       12        3         538       21        1          18          10   \n",
       "616        5       27         116       14       42          13          30   \n",
       "2          6        1         656       19        2          16          15   \n",
       "101        7       11         656       19       35          16          49   \n",
       "332        3       17         116       14       43          13          30   \n",
       "..       ...      ...         ...      ...      ...         ...         ...   \n",
       "106        7       14        3402       21       32          18          36   \n",
       "270        2       24         656       16       51          14           7   \n",
       "860       12        2         116       15       21          14           0   \n",
       "435        4       11         538       21       34          18          40   \n",
       "102        7       12        3402       21       32          18          36   \n",
       "\n",
       "     clouds  temp  max_temp  ...    uv  dewpt  rh   slp  Carrier_B6  \\\n",
       "865     100  6.60      9.40  ...  0.70   4.90  89  1007           0   \n",
       "616      16 16.70     26.70  ... 10.00   3.60  46  1025           1   \n",
       "2        26 24.30     32.80  ... 10.10  10.80  47  1018           1   \n",
       "101      44 24.60     31.10  ...  9.00  15.60  59  1010           1   \n",
       "332      98  5.40      9.40  ...  1.80   1.90  79  1002           1   \n",
       "..      ...   ...       ...  ...   ...    ...  ..   ...         ...   \n",
       "106      71 22.70     28.90  ...  7.50  16.10  68  1011           0   \n",
       "270      96 -5.70      0.00  ...  1.30  -8.70  80  1028           1   \n",
       "860     100  7.00      9.40  ...  0.70   4.70  86  1014           1   \n",
       "435      74 14.90     22.80  ...  2.50   0.00  39  1017           0   \n",
       "102      84 23.20     27.80  ...  5.40  15.70  64  1012           0   \n",
       "\n",
       "     Carrier_MQ  Carrier_UA  Carrier_WN  Origin_MCO  Origin_ORD  \n",
       "865           0           1           0           0           1  \n",
       "616           0           0           0           0           0  \n",
       "2             0           0           0           1           0  \n",
       "101           0           0           0           1           0  \n",
       "332           0           0           0           0           0  \n",
       "..          ...         ...         ...         ...         ...  \n",
       "106           1           0           0           0           1  \n",
       "270           0           0           0           1           0  \n",
       "860           0           0           0           0           0  \n",
       "435           0           1           0           0           1  \n",
       "102           1           0           0           0           1  \n",
       "\n",
       "[750 rows x 28 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
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       "      <td>59</td>\n",
       "      <td>16</td>\n",
       "      <td>18</td>\n",
       "      <td>91</td>\n",
       "      <td>-0.30</td>\n",
       "      <td>0.60</td>\n",
       "      <td>...</td>\n",
       "      <td>0.80</td>\n",
       "      <td>-3.30</td>\n",
       "      <td>80</td>\n",
       "      <td>1021</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>1</td>\n",
       "      <td>21</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>29</td>\n",
       "      <td>13</td>\n",
       "      <td>16</td>\n",
       "      <td>91</td>\n",
       "      <td>-0.30</td>\n",
       "      <td>0.60</td>\n",
       "      <td>...</td>\n",
       "      <td>0.80</td>\n",
       "      <td>-3.30</td>\n",
       "      <td>80</td>\n",
       "      <td>1021</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>15</td>\n",
       "      <td>81</td>\n",
       "      <td>8.40</td>\n",
       "      <td>15.00</td>\n",
       "      <td>...</td>\n",
       "      <td>7.30</td>\n",
       "      <td>-1.00</td>\n",
       "      <td>54</td>\n",
       "      <td>1022</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>3402</td>\n",
       "      <td>23</td>\n",
       "      <td>41</td>\n",
       "      <td>20</td>\n",
       "      <td>46</td>\n",
       "      <td>81</td>\n",
       "      <td>25.30</td>\n",
       "      <td>30.00</td>\n",
       "      <td>...</td>\n",
       "      <td>4.40</td>\n",
       "      <td>18.70</td>\n",
       "      <td>67</td>\n",
       "      <td>1012</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>5340</td>\n",
       "      <td>23</td>\n",
       "      <td>59</td>\n",
       "      <td>22</td>\n",
       "      <td>32</td>\n",
       "      <td>82</td>\n",
       "      <td>-2.10</td>\n",
       "      <td>0.60</td>\n",
       "      <td>...</td>\n",
       "      <td>1.70</td>\n",
       "      <td>-5.10</td>\n",
       "      <td>80</td>\n",
       "      <td>1013</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>817</th>\n",
       "      <td>11</td>\n",
       "      <td>16</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>53</td>\n",
       "      <td>7.70</td>\n",
       "      <td>16.70</td>\n",
       "      <td>...</td>\n",
       "      <td>2.10</td>\n",
       "      <td>0.10</td>\n",
       "      <td>61</td>\n",
       "      <td>1021</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>188 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Date_MM  Date_DD  Flight_num  Arr_t_h  Arr_t_m  Depart_t_h  Depart_t_m  \\\n",
       "70         6       25        3402       22       28          19          39   \n",
       "331        3       17         656       16       51          14           7   \n",
       "858       12        1         656       19       14          16          24   \n",
       "495        4       26         538       21       34          18          40   \n",
       "209        1       21         656       18       59          16          18   \n",
       "..       ...      ...         ...      ...      ...         ...         ...   \n",
       "208        1       21         116       14       29          13          16   \n",
       "468        4       20         656       16        0          13          15   \n",
       "82         7        1        3402       23       41          20          46   \n",
       "310        3       11        5340       23       59          22          32   \n",
       "817       11       16         538       21        1          18          10   \n",
       "\n",
       "     clouds  temp  max_temp  ...   uv  dewpt  rh   slp  Carrier_B6  \\\n",
       "70       72 23.20     30.00  ... 6.20  18.90  78  1008           0   \n",
       "331      98  5.40      9.40  ... 1.80   1.90  79  1002           1   \n",
       "858      88  8.30     12.20  ... 0.70   1.10  63  1015           1   \n",
       "495      77  7.10     11.70  ... 4.90   0.20  63  1021           0   \n",
       "209      91 -0.30      0.60  ... 0.80  -3.30  80  1021           1   \n",
       "..      ...   ...       ...  ...  ...    ...  ..   ...         ...   \n",
       "208      91 -0.30      0.60  ... 0.80  -3.30  80  1021           1   \n",
       "468      81  8.40     15.00  ... 7.30  -1.00  54  1022           1   \n",
       "82       81 25.30     30.00  ... 4.40  18.70  67  1012           0   \n",
       "310      82 -2.10      0.60  ... 1.70  -5.10  80  1013           0   \n",
       "817      53  7.70     16.70  ... 2.10   0.10  61  1021           0   \n",
       "\n",
       "     Carrier_MQ  Carrier_UA  Carrier_WN  Origin_MCO  Origin_ORD  \n",
       "70            1           0           0           0           1  \n",
       "331           0           0           0           1           0  \n",
       "858           0           0           0           1           0  \n",
       "495           0           1           0           0           1  \n",
       "209           0           0           0           1           0  \n",
       "..          ...         ...         ...         ...         ...  \n",
       "208           0           0           0           0           0  \n",
       "468           0           0           0           1           0  \n",
       "82            1           0           0           0           1  \n",
       "310           0           0           0           0           0  \n",
       "817           0           1           0           0           1  \n",
       "\n",
       "[188 rows x 28 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "865    0\n",
       "616    0\n",
       "2      0\n",
       "101    1\n",
       "332    1\n",
       "      ..\n",
       "106    0\n",
       "270    1\n",
       "860    0\n",
       "435    0\n",
       "102    2\n",
       "Name: Arr_Status, Length: 750, dtype: int64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "70     1\n",
       "331    2\n",
       "858    2\n",
       "495    2\n",
       "209    2\n",
       "      ..\n",
       "208    2\n",
       "468    1\n",
       "82     2\n",
       "310    1\n",
       "817    0\n",
       "Name: Arr_Status, Length: 188, dtype: int64"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "if False: \n",
    "    from sklearn.preprocessing import StandardScaler\n",
    "    sc = StandardScaler()\n",
    "    X_train = pd.DataFrame(sc.fit_transform(X_train), columns = X_train.columns, index = X_train.index)\n",
    "    X_test = pd.DataFrame(sc.transform(X_test), columns = X_test.columns, index = X_test.index)\n",
    "    \n",
    "    X_train\n",
    "    X_test\n",
    "    y_train\n",
    "    y_test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Random Forest Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rf_classifier = RandomForestClassifier(random_state=42)\n",
    "rf_classifier.fit(X_train, y_train)\n",
    "\n",
    "y_pred_rf = rf_classifier.predict(X_test)\n",
    "\n",
    "rf_classifier.score(X_train, y_train) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.5053191489361702\n"
     ]
    }
   ],
   "source": [
    "print(f\"Accuracy: {accuracy_score(y_test, y_pred_rf)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pred_Type</th>\n",
       "      <th>Arr_Status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>858</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>495</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     pred_Type  Arr_Status\n",
       "70           2           1\n",
       "331          1           2\n",
       "858          0           2\n",
       "495          0           2\n",
       "209          0           2"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_output = pd.DataFrame(rf_classifier.predict(X_test), index = X_test.index, \n",
    "                           columns = ['pred_Type'])\n",
    "test_output = test_output.merge(y_test, left_index = True, right_index = True)\n",
    "test_output.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Percentage of correct predictions is \n",
      "0.5053191489361702\n"
     ]
    }
   ],
   "source": [
    "print('Percentage of correct predictions is ')\n",
    "print(rf_classifier.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Gradient Boosting Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.928"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gb = GradientBoostingClassifier(random_state=50, min_samples_split = 12, min_samples_leaf = 6, \n",
    "                                max_depth = 4, n_estimators = 100)\n",
    "gb = gb.fit(X_train, y_train) \n",
    "\n",
    "y_pred_gb = gb.predict(X_test)\n",
    "\n",
    "gb.score(X_train, y_train) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.5053191489361702\n"
     ]
    }
   ],
   "source": [
    "print(f\"Accuracy: {accuracy_score(y_test, y_pred_gb)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pred_Type</th>\n",
       "      <th>Arr_Status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>858</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>495</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     pred_Type  Arr_Status\n",
       "70           2           1\n",
       "331          1           2\n",
       "858          0           2\n",
       "495          0           2\n",
       "209          0           2"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_output = pd.DataFrame(gb.predict(X_test), index = X_test.index, columns = ['pred_Type'])\n",
    "test_output = test_output.merge(y_test, left_index = True, right_index = True)\n",
    "test_output.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Percentage of correct predictions is \n",
      "0.5053191489361702\n"
     ]
    }
   ],
   "source": [
    "print('Percentage of correct predictions is ')\n",
    "print(gb.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### XGBoost Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xgb_classifier = xgb.XGBClassifier(objective='multi:softmax', num_class=3, random_state=42)\n",
    "xgb_classifier.fit(X_train, y_train)\n",
    " \n",
    "y_pred_xgb = xgb_classifier.predict(X_test)\n",
    "\n",
    "xgb_classifier.score(X_train, y_train) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.43617021276595747\n"
     ]
    }
   ],
   "source": [
    "print(f\"Accuracy: {accuracy_score(y_test, y_pred_xgb)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>pred_Type</th>\n",
       "      <th>Arr_Status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
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       "      <th>331</th>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>858</th>\n",
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       "      <th>209</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     pred_Type  Arr_Status\n",
       "70           2           1\n",
       "331          1           2\n",
       "858          0           2\n",
       "495          0           2\n",
       "209          0           2"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_output = pd.DataFrame(xgb_classifier.predict(X_test), index = X_test.index, \n",
    "                           columns = ['pred_Type'])\n",
    "test_output = test_output.merge(y_test, left_index = True, right_index = True)\n",
    "test_output.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Percentage of correct predictions is \n",
      "0.43617021276595747\n"
     ]
    }
   ],
   "source": [
    "print('Percentage of correct predictions is ')\n",
    "print(xgb_classifier.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Logistic Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\VIKAS\\anaconda3\\lib\\site-packages\\scipy\\optimize\\linesearch.py:477: LineSearchWarning: The line search algorithm did not converge\n",
      "  warn('The line search algorithm did not converge', LineSearchWarning)\n",
      "C:\\Users\\VIKAS\\anaconda3\\lib\\site-packages\\scipy\\optimize\\linesearch.py:327: LineSearchWarning: The line search algorithm did not converge\n",
      "  warn('The line search algorithm did not converge', LineSearchWarning)\n",
      "C:\\Users\\VIKAS\\anaconda3\\lib\\site-packages\\scipy\\optimize\\linesearch.py:437: LineSearchWarning: Rounding errors prevent the line search from converging\n",
      "  warn(msg, LineSearchWarning)\n",
      "C:\\Users\\VIKAS\\anaconda3\\lib\\site-packages\\sklearn\\utils\\optimize.py:204: UserWarning: Line Search failed\n",
      "  warnings.warn('Line Search failed')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.5426666666666666"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Log_reg = LogisticRegression(fit_intercept = True, solver='newton-cg', \n",
    "                             multi_class = 'multinomial', penalty = 'none', max_iter = 1000)\n",
    "\n",
    "Log_reg.fit(X_train, y_train) \n",
    "\n",
    "# The following gives the mean accuracy on the given data and labels\n",
    "Log_reg.score(X_train, y_train) \n",
    "\n",
    "# This is the coefficient Beta_1, ..., Beta_7\n",
    "#model.coef_\n",
    "\n",
    "# This is the coefficient Beta_0\n",
    "#model.intercept_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pred_Type</th>\n",
       "      <th>Arr_Status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>858</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>495</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     pred_Type  Arr_Status\n",
       "70           2           1\n",
       "331          2           2\n",
       "858          0           2\n",
       "495          2           2\n",
       "209          0           2"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_output = pd.DataFrame(Log_reg.predict(X_test), index = X_test.index, columns = ['pred_Type'])\n",
    "test_output = test_output.merge(y_test, left_index = True, right_index = True)\n",
    "test_output.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Percentage of correct predictions is \n",
      "0.48936170212765956\n"
     ]
    }
   ],
   "source": [
    "print('Percentage of correct predictions is ')\n",
    "print(Log_reg.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Testing weather data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>datetime</th>\n",
       "      <th>clouds</th>\n",
       "      <th>temp</th>\n",
       "      <th>max_temp</th>\n",
       "      <th>min_temp</th>\n",
       "      <th>wind_dir</th>\n",
       "      <th>wind_spd</th>\n",
       "      <th>wind_gust_spd</th>\n",
       "      <th>snow</th>\n",
       "      <th>snow_depth</th>\n",
       "      <th>precip</th>\n",
       "      <th>pres</th>\n",
       "      <th>uv</th>\n",
       "      <th>dewpt</th>\n",
       "      <th>rh</th>\n",
       "      <th>slp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2024-04-09</td>\n",
       "      <td>30</td>\n",
       "      <td>16.70</td>\n",
       "      <td>24.50</td>\n",
       "      <td>5.80</td>\n",
       "      <td>154</td>\n",
       "      <td>2.40</td>\n",
       "      <td>3.50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>998.20</td>\n",
       "      <td>3.00</td>\n",
       "      <td>5.40</td>\n",
       "      <td>50</td>\n",
       "      <td>1,013.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>79</td>\n",
       "      <td>15.00</td>\n",
       "      <td>17.60</td>\n",
       "      <td>11.90</td>\n",
       "      <td>196</td>\n",
       "      <td>3.50</td>\n",
       "      <td>5.30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.80</td>\n",
       "      <td>997.40</td>\n",
       "      <td>2.20</td>\n",
       "      <td>10.20</td>\n",
       "      <td>73</td>\n",
       "      <td>1,013.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>88</td>\n",
       "      <td>15.80</td>\n",
       "      <td>20.00</td>\n",
       "      <td>11.10</td>\n",
       "      <td>133</td>\n",
       "      <td>7.20</td>\n",
       "      <td>10.70</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.15</td>\n",
       "      <td>992.40</td>\n",
       "      <td>2.30</td>\n",
       "      <td>12.00</td>\n",
       "      <td>78</td>\n",
       "      <td>1,008.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>79</td>\n",
       "      <td>14.60</td>\n",
       "      <td>18.00</td>\n",
       "      <td>7.70</td>\n",
       "      <td>203</td>\n",
       "      <td>10.80</td>\n",
       "      <td>16.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11.50</td>\n",
       "      <td>975.90</td>\n",
       "      <td>3.50</td>\n",
       "      <td>9.70</td>\n",
       "      <td>73</td>\n",
       "      <td>991.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2024-04-13</td>\n",
       "      <td>76</td>\n",
       "      <td>6.90</td>\n",
       "      <td>9.20</td>\n",
       "      <td>4.60</td>\n",
       "      <td>271</td>\n",
       "      <td>9.80</td>\n",
       "      <td>14.60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.35</td>\n",
       "      <td>987.40</td>\n",
       "      <td>3.50</td>\n",
       "      <td>2.90</td>\n",
       "      <td>76</td>\n",
       "      <td>1,003.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2024-04-14</td>\n",
       "      <td>65</td>\n",
       "      <td>9.80</td>\n",
       "      <td>15.00</td>\n",
       "      <td>5.50</td>\n",
       "      <td>232</td>\n",
       "      <td>5.40</td>\n",
       "      <td>7.90</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11.35</td>\n",
       "      <td>991.20</td>\n",
       "      <td>4.30</td>\n",
       "      <td>4.30</td>\n",
       "      <td>69</td>\n",
       "      <td>1,007.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2024-04-15</td>\n",
       "      <td>62</td>\n",
       "      <td>11.60</td>\n",
       "      <td>16.10</td>\n",
       "      <td>7.60</td>\n",
       "      <td>269</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>33.50</td>\n",
       "      <td>994.10</td>\n",
       "      <td>8.10</td>\n",
       "      <td>3.40</td>\n",
       "      <td>59</td>\n",
       "      <td>1,010.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2024-04-16</td>\n",
       "      <td>21</td>\n",
       "      <td>12.70</td>\n",
       "      <td>17.00</td>\n",
       "      <td>8.10</td>\n",
       "      <td>250</td>\n",
       "      <td>2.80</td>\n",
       "      <td>2.80</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>29.50</td>\n",
       "      <td>1,006.30</td>\n",
       "      <td>8.10</td>\n",
       "      <td>2.50</td>\n",
       "      <td>51</td>\n",
       "      <td>1,022.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2024-04-17</td>\n",
       "      <td>38</td>\n",
       "      <td>14.20</td>\n",
       "      <td>18.60</td>\n",
       "      <td>10.60</td>\n",
       "      <td>138</td>\n",
       "      <td>3.50</td>\n",
       "      <td>3.50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>67.00</td>\n",
       "      <td>1,010.10</td>\n",
       "      <td>8.20</td>\n",
       "      <td>4.80</td>\n",
       "      <td>54</td>\n",
       "      <td>1,026.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2024-04-18</td>\n",
       "      <td>94</td>\n",
       "      <td>13.50</td>\n",
       "      <td>17.40</td>\n",
       "      <td>9.80</td>\n",
       "      <td>223</td>\n",
       "      <td>3.60</td>\n",
       "      <td>3.60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>64.00</td>\n",
       "      <td>1,006.90</td>\n",
       "      <td>8.30</td>\n",
       "      <td>4.80</td>\n",
       "      <td>57</td>\n",
       "      <td>1,023.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>84</td>\n",
       "      <td>12.40</td>\n",
       "      <td>16.70</td>\n",
       "      <td>8.90</td>\n",
       "      <td>171</td>\n",
       "      <td>4.20</td>\n",
       "      <td>4.60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>42.56</td>\n",
       "      <td>1,003.50</td>\n",
       "      <td>8.30</td>\n",
       "      <td>3.90</td>\n",
       "      <td>57</td>\n",
       "      <td>1,019.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2024-04-20</td>\n",
       "      <td>49</td>\n",
       "      <td>10.10</td>\n",
       "      <td>19.80</td>\n",
       "      <td>4.60</td>\n",
       "      <td>227</td>\n",
       "      <td>3.40</td>\n",
       "      <td>6.50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25.00</td>\n",
       "      <td>1,007.50</td>\n",
       "      <td>8.40</td>\n",
       "      <td>6.30</td>\n",
       "      <td>78</td>\n",
       "      <td>1,023.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>90</td>\n",
       "      <td>12.20</td>\n",
       "      <td>17.90</td>\n",
       "      <td>6.80</td>\n",
       "      <td>110</td>\n",
       "      <td>1.90</td>\n",
       "      <td>2.70</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13.19</td>\n",
       "      <td>1,002.80</td>\n",
       "      <td>8.40</td>\n",
       "      <td>9.60</td>\n",
       "      <td>85</td>\n",
       "      <td>1,018.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>72</td>\n",
       "      <td>12.40</td>\n",
       "      <td>18.60</td>\n",
       "      <td>8.50</td>\n",
       "      <td>131</td>\n",
       "      <td>5.50</td>\n",
       "      <td>10.90</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17.38</td>\n",
       "      <td>999.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>78</td>\n",
       "      <td>1,015.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2024-04-23</td>\n",
       "      <td>91</td>\n",
       "      <td>10.60</td>\n",
       "      <td>19.10</td>\n",
       "      <td>4.40</td>\n",
       "      <td>236</td>\n",
       "      <td>3.50</td>\n",
       "      <td>7.50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>27.38</td>\n",
       "      <td>1,000.00</td>\n",
       "      <td>8.60</td>\n",
       "      <td>6.10</td>\n",
       "      <td>75</td>\n",
       "      <td>1,016.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2024-04-24</td>\n",
       "      <td>37</td>\n",
       "      <td>7.10</td>\n",
       "      <td>15.30</td>\n",
       "      <td>2.20</td>\n",
       "      <td>301</td>\n",
       "      <td>3.60</td>\n",
       "      <td>6.20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24.25</td>\n",
       "      <td>1,006.80</td>\n",
       "      <td>8.60</td>\n",
       "      <td>0.80</td>\n",
       "      <td>66</td>\n",
       "      <td>1,023.10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     datetime  clouds  temp  max_temp  min_temp  wind_dir  wind_spd  \\\n",
       "0  2024-04-09      30 16.70     24.50      5.80       154      2.40   \n",
       "1  2024-04-10      79 15.00     17.60     11.90       196      3.50   \n",
       "2  2024-04-11      88 15.80     20.00     11.10       133      7.20   \n",
       "3  2024-04-12      79 14.60     18.00      7.70       203     10.80   \n",
       "4  2024-04-13      76  6.90      9.20      4.60       271      9.80   \n",
       "5  2024-04-14      65  9.80     15.00      5.50       232      5.40   \n",
       "6  2024-04-15      62 11.60     16.10      7.60       269      4.00   \n",
       "7  2024-04-16      21 12.70     17.00      8.10       250      2.80   \n",
       "8  2024-04-17      38 14.20     18.60     10.60       138      3.50   \n",
       "9  2024-04-18      94 13.50     17.40      9.80       223      3.60   \n",
       "10 2024-04-19      84 12.40     16.70      8.90       171      4.20   \n",
       "11 2024-04-20      49 10.10     19.80      4.60       227      3.40   \n",
       "12 2024-04-21      90 12.20     17.90      6.80       110      1.90   \n",
       "13 2024-04-22      72 12.40     18.60      8.50       131      5.50   \n",
       "14 2024-04-23      91 10.60     19.10      4.40       236      3.50   \n",
       "15 2024-04-24      37  7.10     15.30      2.20       301      3.60   \n",
       "\n",
       "    wind_gust_spd  snow  snow_depth  precip     pres   uv  dewpt  rh      slp  \n",
       "0            3.50     0           0    0.00   998.20 3.00   5.40  50 1,013.80  \n",
       "1            5.30     0           0    6.80   997.40 2.20  10.20  73 1,013.10  \n",
       "2           10.70     0           0    6.15   992.40 2.30  12.00  78 1,008.10  \n",
       "3           16.40     0           0   11.50   975.90 3.50   9.70  73   991.40  \n",
       "4           14.60     0           0    4.35   987.40 3.50   2.90  76 1,003.50  \n",
       "5            7.90     0           0   11.35   991.20 4.30   4.30  69 1,007.30  \n",
       "6            4.00     0           0   33.50   994.10 8.10   3.40  59 1,010.10  \n",
       "7            2.80     0           0   29.50 1,006.30 8.10   2.50  51 1,022.70  \n",
       "8            3.50     0           0   67.00 1,010.10 8.20   4.80  54 1,026.40  \n",
       "9            3.60     0           0   64.00 1,006.90 8.30   4.80  57 1,023.00  \n",
       "10           4.60     0           0   42.56 1,003.50 8.30   3.90  57 1,019.50  \n",
       "11           6.50     0           0   25.00 1,007.50 8.40   6.30  78 1,023.70  \n",
       "12           2.70     0           0   13.19 1,002.80 8.40   9.60  85 1,018.70  \n",
       "13          10.90     0           0   17.38   999.50 8.50   8.50  78 1,015.40  \n",
       "14           7.50     0           0   27.38 1,000.00 8.60   6.10  75 1,016.00  \n",
       "15           6.20     0           0   24.25 1,006.80 8.60   0.80  66 1,023.10  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_weather = pd.read_excel(r\"C:\\Users\\VIKAS\\Documents\\Intro to ML\\Project\\datasets\\test_weather.xlsx\", \n",
    "                             parse_dates = ['datetime'])\n",
    "test_weather"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Initial predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Carrier</th>\n",
       "      <th>Flight_Num</th>\n",
       "      <th>Origin</th>\n",
       "      <th>Dest</th>\n",
       "      <th>Scheduled Arrival Time</th>\n",
       "      <th>Scheduled departure time</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 21:47:00</td>\n",
       "      <td>2024-05-02 18:52:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 22:52:00</td>\n",
       "      <td>2024-05-02 19:59:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:50:00</td>\n",
       "      <td>2024-05-02 13:33:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>9E</td>\n",
       "      <td>5340</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:21:00</td>\n",
       "      <td>2024-05-02 14:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>WN</td>\n",
       "      <td>491</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 13:45:00</td>\n",
       "      <td>2024-05-02 11:05:00</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>B6</td>\n",
       "      <td>656</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:25:00</td>\n",
       "      <td>2024-05-02 13:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 21:47:00</td>\n",
       "      <td>2024-05-02 18:52:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 22:52:00</td>\n",
       "      <td>2024-05-02 19:59:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:50:00</td>\n",
       "      <td>2024-05-02 13:33:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>9E</td>\n",
       "      <td>5340</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:21:00</td>\n",
       "      <td>2024-05-02 14:55:00</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>WN</td>\n",
       "      <td>491</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:20:00</td>\n",
       "      <td>2024-05-02 11:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>B6</td>\n",
       "      <td>656</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:25:00</td>\n",
       "      <td>2024-05-02 13:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 21:47:00</td>\n",
       "      <td>2024-05-02 18:52:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 22:52:00</td>\n",
       "      <td>2024-05-02 19:59:00</td>\n",
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       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:50:00</td>\n",
       "      <td>2024-05-02 13:33:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>9E</td>\n",
       "      <td>5340</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:21:00</td>\n",
       "      <td>2024-05-02 14:55:00</td>\n",
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       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>WN</td>\n",
       "      <td>491</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:20:00</td>\n",
       "      <td>2024-05-02 11:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>B6</td>\n",
       "      <td>656</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:25:00</td>\n",
       "      <td>2024-05-02 13:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2024-04-13</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 21:47:00</td>\n",
       "      <td>2024-05-02 18:52:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2024-04-13</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 22:52:00</td>\n",
       "      <td>2024-05-02 19:59:00</td>\n",
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       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2024-04-13</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:30:00</td>\n",
       "      <td>2024-05-02 13:12:00</td>\n",
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       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2024-04-13</td>\n",
       "      <td>9E</td>\n",
       "      <td>5340</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:21:00</td>\n",
       "      <td>2024-05-02 14:55:00</td>\n",
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       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2024-04-13</td>\n",
       "      <td>B6</td>\n",
       "      <td>656</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:25:00</td>\n",
       "      <td>2024-05-02 13:35:00</td>\n",
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      ],
      "text/plain": [
       "         Date Carrier  Flight_Num Origin Dest Scheduled Arrival Time  \\\n",
       "0  2024-04-10      UA         538    ORD  SYR    2024-05-02 21:47:00   \n",
       "1  2024-04-10      MQ        3402    ORD  SYR    2024-05-02 22:52:00   \n",
       "2  2024-04-10      B6         116    JFK  SYR    2024-05-02 14:50:00   \n",
       "3  2024-04-10      9E        5340    JFK  SYR    2024-05-02 16:21:00   \n",
       "4  2024-04-10      WN         491    MCO  SYR    2024-05-02 13:45:00   \n",
       "5  2024-04-10      B6         656    MCO  SYR    2024-05-02 16:25:00   \n",
       "6  2024-04-11      UA         538    ORD  SYR    2024-05-02 21:47:00   \n",
       "7  2024-04-11      MQ        3402    ORD  SYR    2024-05-02 22:52:00   \n",
       "8  2024-04-11      B6         116    JFK  SYR    2024-05-02 14:50:00   \n",
       "9  2024-04-11      9E        5340    JFK  SYR    2024-05-02 16:21:00   \n",
       "10 2024-04-11      WN         491    MCO  SYR    2024-05-02 14:20:00   \n",
       "11 2024-04-11      B6         656    MCO  SYR    2024-05-02 16:25:00   \n",
       "12 2024-04-12      UA         538    ORD  SYR    2024-05-02 21:47:00   \n",
       "13 2024-04-12      MQ        3402    ORD  SYR    2024-05-02 22:52:00   \n",
       "14 2024-04-12      B6         116    JFK  SYR    2024-05-02 14:50:00   \n",
       "15 2024-04-12      9E        5340    JFK  SYR    2024-05-02 16:21:00   \n",
       "16 2024-04-12      WN         491    MCO  SYR    2024-05-02 14:20:00   \n",
       "17 2024-04-12      B6         656    MCO  SYR    2024-05-02 16:25:00   \n",
       "18 2024-04-13      UA         538    ORD  SYR    2024-05-02 21:47:00   \n",
       "19 2024-04-13      MQ        3402    ORD  SYR    2024-05-02 22:52:00   \n",
       "20 2024-04-13      B6         116    JFK  SYR    2024-05-02 14:30:00   \n",
       "21 2024-04-13      9E        5340    JFK  SYR    2024-05-02 16:21:00   \n",
       "22 2024-04-13      B6         656    MCO  SYR    2024-05-02 16:25:00   \n",
       "\n",
       "   Scheduled departure time  \n",
       "0       2024-05-02 18:52:00  \n",
       "1       2024-05-02 19:59:00  \n",
       "2       2024-05-02 13:33:00  \n",
       "3       2024-05-02 14:55:00  \n",
       "4       2024-05-02 11:05:00  \n",
       "5       2024-05-02 13:35:00  \n",
       "6       2024-05-02 18:52:00  \n",
       "7       2024-05-02 19:59:00  \n",
       "8       2024-05-02 13:33:00  \n",
       "9       2024-05-02 14:55:00  \n",
       "10      2024-05-02 11:35:00  \n",
       "11      2024-05-02 13:35:00  \n",
       "12      2024-05-02 18:52:00  \n",
       "13      2024-05-02 19:59:00  \n",
       "14      2024-05-02 13:33:00  \n",
       "15      2024-05-02 14:55:00  \n",
       "16      2024-05-02 11:35:00  \n",
       "17      2024-05-02 13:35:00  \n",
       "18      2024-05-02 18:52:00  \n",
       "19      2024-05-02 19:59:00  \n",
       "20      2024-05-02 13:12:00  \n",
       "21      2024-05-02 14:55:00  \n",
       "22      2024-05-02 13:35:00  "
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Reading flight data for initial predictions\n",
    "initial_flight = pd.read_csv(r\"C:\\Users\\VIKAS\\Documents\\Intro to ML\\Project\\datasets\\flight_initials.csv\", \n",
    "                             parse_dates = ['Date', 'Scheduled Arrival Time', 'Scheduled departure time'])\n",
    "\n",
    "initial_flight"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
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       "      <td>JFK</td>\n",
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       "      <td>SYR</td>\n",
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       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>UA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>B6</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>50</td>\n",
       "      <td>13</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>WN</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>491</td>\n",
       "      <td>14</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>UA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>B6</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>50</td>\n",
       "      <td>13</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>WN</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>491</td>\n",
       "      <td>14</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2024-04-13</td>\n",
       "      <td>UA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2024-04-13</td>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2024-04-13</td>\n",
       "      <td>B6</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>30</td>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2024-04-13</td>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2024-04-13</td>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date Carrier Origin Dest  Date_MM  Date_DD  Flight_num  Arr_t_h  \\\n",
       "0  2024-04-10      UA    ORD  SYR        4       10         538       21   \n",
       "1  2024-04-10      MQ    ORD  SYR        4       10        3402       22   \n",
       "2  2024-04-10      B6    JFK  SYR        4       10         116       14   \n",
       "3  2024-04-10      9E    JFK  SYR        4       10        5340       16   \n",
       "4  2024-04-10      WN    MCO  SYR        4       10         491       13   \n",
       "5  2024-04-10      B6    MCO  SYR        4       10         656       16   \n",
       "6  2024-04-11      UA    ORD  SYR        4       11         538       21   \n",
       "7  2024-04-11      MQ    ORD  SYR        4       11        3402       22   \n",
       "8  2024-04-11      B6    JFK  SYR        4       11         116       14   \n",
       "9  2024-04-11      9E    JFK  SYR        4       11        5340       16   \n",
       "10 2024-04-11      WN    MCO  SYR        4       11         491       14   \n",
       "11 2024-04-11      B6    MCO  SYR        4       11         656       16   \n",
       "12 2024-04-12      UA    ORD  SYR        4       12         538       21   \n",
       "13 2024-04-12      MQ    ORD  SYR        4       12        3402       22   \n",
       "14 2024-04-12      B6    JFK  SYR        4       12         116       14   \n",
       "15 2024-04-12      9E    JFK  SYR        4       12        5340       16   \n",
       "16 2024-04-12      WN    MCO  SYR        4       12         491       14   \n",
       "17 2024-04-12      B6    MCO  SYR        4       12         656       16   \n",
       "18 2024-04-13      UA    ORD  SYR        4       13         538       21   \n",
       "19 2024-04-13      MQ    ORD  SYR        4       13        3402       22   \n",
       "20 2024-04-13      B6    JFK  SYR        4       13         116       14   \n",
       "21 2024-04-13      9E    JFK  SYR        4       13        5340       16   \n",
       "22 2024-04-13      B6    MCO  SYR        4       13         656       16   \n",
       "\n",
       "    Arr_t_m  Depart_t_h  Depart_t_m  \n",
       "0        47          18          52  \n",
       "1        52          19          59  \n",
       "2        50          13          33  \n",
       "3        21          14          55  \n",
       "4        45          11           5  \n",
       "5        25          13          35  \n",
       "6        47          18          52  \n",
       "7        52          19          59  \n",
       "8        50          13          33  \n",
       "9        21          14          55  \n",
       "10       20          11          35  \n",
       "11       25          13          35  \n",
       "12       47          18          52  \n",
       "13       52          19          59  \n",
       "14       50          13          33  \n",
       "15       21          14          55  \n",
       "16       20          11          35  \n",
       "17       25          13          35  \n",
       "18       47          18          52  \n",
       "19       52          19          59  \n",
       "20       30          13          12  \n",
       "21       21          14          55  \n",
       "22       25          13          35  "
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "initial_flight['Date_MM'] = initial_flight['Date'].dt.month\n",
    "initial_flight['Date_DD'] = initial_flight['Date'].dt.day\n",
    "\n",
    "initial_flight['Flight_num'] = initial_flight['Flight_Num']\n",
    "\n",
    "initial_flight['Arr_t_h'] = initial_flight['Scheduled Arrival Time'].dt.hour\n",
    "initial_flight['Arr_t_m'] = initial_flight['Scheduled Arrival Time'].dt.minute\n",
    "initial_flight['Depart_t_h'] = initial_flight['Scheduled departure time'].dt.hour\n",
    "initial_flight['Depart_t_m'] = initial_flight['Scheduled departure time'].dt.minute\n",
    "\n",
    "initial_flight.drop(columns = ['Scheduled Arrival Time', 'Scheduled departure time', 'Flight_Num'], \n",
    "                    inplace = True)\n",
    "\n",
    "initial_flight"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Carrier</th>\n",
       "      <th>Origin</th>\n",
       "      <th>Dest</th>\n",
       "      <th>Date_MM</th>\n",
       "      <th>Date_DD</th>\n",
       "      <th>Flight_num</th>\n",
       "      <th>Arr_t_h</th>\n",
       "      <th>Arr_t_m</th>\n",
       "      <th>Depart_t_h</th>\n",
       "      <th>Depart_t_m</th>\n",
       "      <th>...</th>\n",
       "      <th>wind_spd</th>\n",
       "      <th>wind_gust_spd</th>\n",
       "      <th>snow</th>\n",
       "      <th>snow_depth</th>\n",
       "      <th>precip</th>\n",
       "      <th>pres</th>\n",
       "      <th>uv</th>\n",
       "      <th>dewpt</th>\n",
       "      <th>rh</th>\n",
       "      <th>slp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>UA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "      <td>...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>5.30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.80</td>\n",
       "      <td>997.40</td>\n",
       "      <td>2.20</td>\n",
       "      <td>10.20</td>\n",
       "      <td>73</td>\n",
       "      <td>1,013.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>5.30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.80</td>\n",
       "      <td>997.40</td>\n",
       "      <td>2.20</td>\n",
       "      <td>10.20</td>\n",
       "      <td>73</td>\n",
       "      <td>1,013.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>B6</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>50</td>\n",
       "      <td>13</td>\n",
       "      <td>33</td>\n",
       "      <td>...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>5.30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.80</td>\n",
       "      <td>997.40</td>\n",
       "      <td>2.20</td>\n",
       "      <td>10.20</td>\n",
       "      <td>73</td>\n",
       "      <td>1,013.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>5.30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.80</td>\n",
       "      <td>997.40</td>\n",
       "      <td>2.20</td>\n",
       "      <td>10.20</td>\n",
       "      <td>73</td>\n",
       "      <td>1,013.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>WN</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>491</td>\n",
       "      <td>13</td>\n",
       "      <td>45</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>5.30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.80</td>\n",
       "      <td>997.40</td>\n",
       "      <td>2.20</td>\n",
       "      <td>10.20</td>\n",
       "      <td>73</td>\n",
       "      <td>1,013.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>5.30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.80</td>\n",
       "      <td>997.40</td>\n",
       "      <td>2.20</td>\n",
       "      <td>10.20</td>\n",
       "      <td>73</td>\n",
       "      <td>1,013.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>UA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "      <td>...</td>\n",
       "      <td>7.20</td>\n",
       "      <td>10.70</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.15</td>\n",
       "      <td>992.40</td>\n",
       "      <td>2.30</td>\n",
       "      <td>12.00</td>\n",
       "      <td>78</td>\n",
       "      <td>1,008.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>...</td>\n",
       "      <td>7.20</td>\n",
       "      <td>10.70</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.15</td>\n",
       "      <td>992.40</td>\n",
       "      <td>2.30</td>\n",
       "      <td>12.00</td>\n",
       "      <td>78</td>\n",
       "      <td>1,008.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>B6</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>50</td>\n",
       "      <td>13</td>\n",
       "      <td>33</td>\n",
       "      <td>...</td>\n",
       "      <td>7.20</td>\n",
       "      <td>10.70</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.15</td>\n",
       "      <td>992.40</td>\n",
       "      <td>2.30</td>\n",
       "      <td>12.00</td>\n",
       "      <td>78</td>\n",
       "      <td>1,008.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>...</td>\n",
       "      <td>7.20</td>\n",
       "      <td>10.70</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.15</td>\n",
       "      <td>992.40</td>\n",
       "      <td>2.30</td>\n",
       "      <td>12.00</td>\n",
       "      <td>78</td>\n",
       "      <td>1,008.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>WN</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>491</td>\n",
       "      <td>14</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "      <td>35</td>\n",
       "      <td>...</td>\n",
       "      <td>7.20</td>\n",
       "      <td>10.70</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.15</td>\n",
       "      <td>992.40</td>\n",
       "      <td>2.30</td>\n",
       "      <td>12.00</td>\n",
       "      <td>78</td>\n",
       "      <td>1,008.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>...</td>\n",
       "      <td>7.20</td>\n",
       "      <td>10.70</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.15</td>\n",
       "      <td>992.40</td>\n",
       "      <td>2.30</td>\n",
       "      <td>12.00</td>\n",
       "      <td>78</td>\n",
       "      <td>1,008.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>UA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "      <td>...</td>\n",
       "      <td>10.80</td>\n",
       "      <td>16.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11.50</td>\n",
       "      <td>975.90</td>\n",
       "      <td>3.50</td>\n",
       "      <td>9.70</td>\n",
       "      <td>73</td>\n",
       "      <td>991.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>...</td>\n",
       "      <td>10.80</td>\n",
       "      <td>16.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11.50</td>\n",
       "      <td>975.90</td>\n",
       "      <td>3.50</td>\n",
       "      <td>9.70</td>\n",
       "      <td>73</td>\n",
       "      <td>991.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>B6</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>50</td>\n",
       "      <td>13</td>\n",
       "      <td>33</td>\n",
       "      <td>...</td>\n",
       "      <td>10.80</td>\n",
       "      <td>16.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11.50</td>\n",
       "      <td>975.90</td>\n",
       "      <td>3.50</td>\n",
       "      <td>9.70</td>\n",
       "      <td>73</td>\n",
       "      <td>991.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>...</td>\n",
       "      <td>10.80</td>\n",
       "      <td>16.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11.50</td>\n",
       "      <td>975.90</td>\n",
       "      <td>3.50</td>\n",
       "      <td>9.70</td>\n",
       "      <td>73</td>\n",
       "      <td>991.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>WN</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>491</td>\n",
       "      <td>14</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "      <td>35</td>\n",
       "      <td>...</td>\n",
       "      <td>10.80</td>\n",
       "      <td>16.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11.50</td>\n",
       "      <td>975.90</td>\n",
       "      <td>3.50</td>\n",
       "      <td>9.70</td>\n",
       "      <td>73</td>\n",
       "      <td>991.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>...</td>\n",
       "      <td>10.80</td>\n",
       "      <td>16.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11.50</td>\n",
       "      <td>975.90</td>\n",
       "      <td>3.50</td>\n",
       "      <td>9.70</td>\n",
       "      <td>73</td>\n",
       "      <td>991.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>UA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "      <td>...</td>\n",
       "      <td>9.80</td>\n",
       "      <td>14.60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.35</td>\n",
       "      <td>987.40</td>\n",
       "      <td>3.50</td>\n",
       "      <td>2.90</td>\n",
       "      <td>76</td>\n",
       "      <td>1,003.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>...</td>\n",
       "      <td>9.80</td>\n",
       "      <td>14.60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.35</td>\n",
       "      <td>987.40</td>\n",
       "      <td>3.50</td>\n",
       "      <td>2.90</td>\n",
       "      <td>76</td>\n",
       "      <td>1,003.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>B6</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>30</td>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "      <td>...</td>\n",
       "      <td>9.80</td>\n",
       "      <td>14.60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.35</td>\n",
       "      <td>987.40</td>\n",
       "      <td>3.50</td>\n",
       "      <td>2.90</td>\n",
       "      <td>76</td>\n",
       "      <td>1,003.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>...</td>\n",
       "      <td>9.80</td>\n",
       "      <td>14.60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.35</td>\n",
       "      <td>987.40</td>\n",
       "      <td>3.50</td>\n",
       "      <td>2.90</td>\n",
       "      <td>76</td>\n",
       "      <td>1,003.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>...</td>\n",
       "      <td>9.80</td>\n",
       "      <td>14.60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.35</td>\n",
       "      <td>987.40</td>\n",
       "      <td>3.50</td>\n",
       "      <td>2.90</td>\n",
       "      <td>76</td>\n",
       "      <td>1,003.50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Carrier Origin Dest  Date_MM  Date_DD  Flight_num  Arr_t_h  Arr_t_m  \\\n",
       "0       UA    ORD  SYR        4       10         538       21       47   \n",
       "1       MQ    ORD  SYR        4       10        3402       22       52   \n",
       "2       B6    JFK  SYR        4       10         116       14       50   \n",
       "3       9E    JFK  SYR        4       10        5340       16       21   \n",
       "4       WN    MCO  SYR        4       10         491       13       45   \n",
       "5       B6    MCO  SYR        4       10         656       16       25   \n",
       "6       UA    ORD  SYR        4       11         538       21       47   \n",
       "7       MQ    ORD  SYR        4       11        3402       22       52   \n",
       "8       B6    JFK  SYR        4       11         116       14       50   \n",
       "9       9E    JFK  SYR        4       11        5340       16       21   \n",
       "10      WN    MCO  SYR        4       11         491       14       20   \n",
       "11      B6    MCO  SYR        4       11         656       16       25   \n",
       "12      UA    ORD  SYR        4       12         538       21       47   \n",
       "13      MQ    ORD  SYR        4       12        3402       22       52   \n",
       "14      B6    JFK  SYR        4       12         116       14       50   \n",
       "15      9E    JFK  SYR        4       12        5340       16       21   \n",
       "16      WN    MCO  SYR        4       12         491       14       20   \n",
       "17      B6    MCO  SYR        4       12         656       16       25   \n",
       "18      UA    ORD  SYR        4       13         538       21       47   \n",
       "19      MQ    ORD  SYR        4       13        3402       22       52   \n",
       "20      B6    JFK  SYR        4       13         116       14       30   \n",
       "21      9E    JFK  SYR        4       13        5340       16       21   \n",
       "22      B6    MCO  SYR        4       13         656       16       25   \n",
       "\n",
       "    Depart_t_h  Depart_t_m  ...  wind_spd  wind_gust_spd  snow  snow_depth  \\\n",
       "0           18          52  ...      3.50           5.30     0           0   \n",
       "1           19          59  ...      3.50           5.30     0           0   \n",
       "2           13          33  ...      3.50           5.30     0           0   \n",
       "3           14          55  ...      3.50           5.30     0           0   \n",
       "4           11           5  ...      3.50           5.30     0           0   \n",
       "5           13          35  ...      3.50           5.30     0           0   \n",
       "6           18          52  ...      7.20          10.70     0           0   \n",
       "7           19          59  ...      7.20          10.70     0           0   \n",
       "8           13          33  ...      7.20          10.70     0           0   \n",
       "9           14          55  ...      7.20          10.70     0           0   \n",
       "10          11          35  ...      7.20          10.70     0           0   \n",
       "11          13          35  ...      7.20          10.70     0           0   \n",
       "12          18          52  ...     10.80          16.40     0           0   \n",
       "13          19          59  ...     10.80          16.40     0           0   \n",
       "14          13          33  ...     10.80          16.40     0           0   \n",
       "15          14          55  ...     10.80          16.40     0           0   \n",
       "16          11          35  ...     10.80          16.40     0           0   \n",
       "17          13          35  ...     10.80          16.40     0           0   \n",
       "18          18          52  ...      9.80          14.60     0           0   \n",
       "19          19          59  ...      9.80          14.60     0           0   \n",
       "20          13          12  ...      9.80          14.60     0           0   \n",
       "21          14          55  ...      9.80          14.60     0           0   \n",
       "22          13          35  ...      9.80          14.60     0           0   \n",
       "\n",
       "    precip   pres   uv  dewpt  rh      slp  \n",
       "0     6.80 997.40 2.20  10.20  73 1,013.10  \n",
       "1     6.80 997.40 2.20  10.20  73 1,013.10  \n",
       "2     6.80 997.40 2.20  10.20  73 1,013.10  \n",
       "3     6.80 997.40 2.20  10.20  73 1,013.10  \n",
       "4     6.80 997.40 2.20  10.20  73 1,013.10  \n",
       "5     6.80 997.40 2.20  10.20  73 1,013.10  \n",
       "6     6.15 992.40 2.30  12.00  78 1,008.10  \n",
       "7     6.15 992.40 2.30  12.00  78 1,008.10  \n",
       "8     6.15 992.40 2.30  12.00  78 1,008.10  \n",
       "9     6.15 992.40 2.30  12.00  78 1,008.10  \n",
       "10    6.15 992.40 2.30  12.00  78 1,008.10  \n",
       "11    6.15 992.40 2.30  12.00  78 1,008.10  \n",
       "12   11.50 975.90 3.50   9.70  73   991.40  \n",
       "13   11.50 975.90 3.50   9.70  73   991.40  \n",
       "14   11.50 975.90 3.50   9.70  73   991.40  \n",
       "15   11.50 975.90 3.50   9.70  73   991.40  \n",
       "16   11.50 975.90 3.50   9.70  73   991.40  \n",
       "17   11.50 975.90 3.50   9.70  73   991.40  \n",
       "18    4.35 987.40 3.50   2.90  76 1,003.50  \n",
       "19    4.35 987.40 3.50   2.90  76 1,003.50  \n",
       "20    4.35 987.40 3.50   2.90  76 1,003.50  \n",
       "21    4.35 987.40 3.50   2.90  76 1,003.50  \n",
       "22    4.35 987.40 3.50   2.90  76 1,003.50  \n",
       "\n",
       "[23 rows x 25 columns]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merging flight data and tesing weather data for initial predictions based on dates\n",
    "test_initials = pd.merge(initial_flight, test_weather, left_on='Date', right_on='datetime')\n",
    "test_initials.drop(columns = ['datetime', 'Date'], inplace=True)\n",
    "\n",
    "test_initials"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        vertical-align: top;\n",
       "    }\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date_MM</th>\n",
       "      <th>Date_DD</th>\n",
       "      <th>Flight_num</th>\n",
       "      <th>Arr_t_h</th>\n",
       "      <th>Arr_t_m</th>\n",
       "      <th>Depart_t_h</th>\n",
       "      <th>Depart_t_m</th>\n",
       "      <th>clouds</th>\n",
       "      <th>temp</th>\n",
       "      <th>max_temp</th>\n",
       "      <th>...</th>\n",
       "      <th>uv</th>\n",
       "      <th>dewpt</th>\n",
       "      <th>rh</th>\n",
       "      <th>slp</th>\n",
       "      <th>Carrier_B6</th>\n",
       "      <th>Carrier_MQ</th>\n",
       "      <th>Carrier_UA</th>\n",
       "      <th>Carrier_WN</th>\n",
       "      <th>Origin_MCO</th>\n",
       "      <th>Origin_ORD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "      <td>79</td>\n",
       "      <td>15.00</td>\n",
       "      <td>17.60</td>\n",
       "      <td>...</td>\n",
       "      <td>2.20</td>\n",
       "      <td>10.20</td>\n",
       "      <td>73</td>\n",
       "      <td>1,013.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>79</td>\n",
       "      <td>15.00</td>\n",
       "      <td>17.60</td>\n",
       "      <td>...</td>\n",
       "      <td>2.20</td>\n",
       "      <td>10.20</td>\n",
       "      <td>73</td>\n",
       "      <td>1,013.10</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>50</td>\n",
       "      <td>13</td>\n",
       "      <td>33</td>\n",
       "      <td>79</td>\n",
       "      <td>15.00</td>\n",
       "      <td>17.60</td>\n",
       "      <td>...</td>\n",
       "      <td>2.20</td>\n",
       "      <td>10.20</td>\n",
       "      <td>73</td>\n",
       "      <td>1,013.10</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>79</td>\n",
       "      <td>15.00</td>\n",
       "      <td>17.60</td>\n",
       "      <td>...</td>\n",
       "      <td>2.20</td>\n",
       "      <td>10.20</td>\n",
       "      <td>73</td>\n",
       "      <td>1,013.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>491</td>\n",
       "      <td>13</td>\n",
       "      <td>45</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>79</td>\n",
       "      <td>15.00</td>\n",
       "      <td>17.60</td>\n",
       "      <td>...</td>\n",
       "      <td>2.20</td>\n",
       "      <td>10.20</td>\n",
       "      <td>73</td>\n",
       "      <td>1,013.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>79</td>\n",
       "      <td>15.00</td>\n",
       "      <td>17.60</td>\n",
       "      <td>...</td>\n",
       "      <td>2.20</td>\n",
       "      <td>10.20</td>\n",
       "      <td>73</td>\n",
       "      <td>1,013.10</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "      <td>88</td>\n",
       "      <td>15.80</td>\n",
       "      <td>20.00</td>\n",
       "      <td>...</td>\n",
       "      <td>2.30</td>\n",
       "      <td>12.00</td>\n",
       "      <td>78</td>\n",
       "      <td>1,008.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>88</td>\n",
       "      <td>15.80</td>\n",
       "      <td>20.00</td>\n",
       "      <td>...</td>\n",
       "      <td>2.30</td>\n",
       "      <td>12.00</td>\n",
       "      <td>78</td>\n",
       "      <td>1,008.10</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>50</td>\n",
       "      <td>13</td>\n",
       "      <td>33</td>\n",
       "      <td>88</td>\n",
       "      <td>15.80</td>\n",
       "      <td>20.00</td>\n",
       "      <td>...</td>\n",
       "      <td>2.30</td>\n",
       "      <td>12.00</td>\n",
       "      <td>78</td>\n",
       "      <td>1,008.10</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>88</td>\n",
       "      <td>15.80</td>\n",
       "      <td>20.00</td>\n",
       "      <td>...</td>\n",
       "      <td>2.30</td>\n",
       "      <td>12.00</td>\n",
       "      <td>78</td>\n",
       "      <td>1,008.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>491</td>\n",
       "      <td>14</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "      <td>35</td>\n",
       "      <td>88</td>\n",
       "      <td>15.80</td>\n",
       "      <td>20.00</td>\n",
       "      <td>...</td>\n",
       "      <td>2.30</td>\n",
       "      <td>12.00</td>\n",
       "      <td>78</td>\n",
       "      <td>1,008.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>88</td>\n",
       "      <td>15.80</td>\n",
       "      <td>20.00</td>\n",
       "      <td>...</td>\n",
       "      <td>2.30</td>\n",
       "      <td>12.00</td>\n",
       "      <td>78</td>\n",
       "      <td>1,008.10</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "      <td>79</td>\n",
       "      <td>14.60</td>\n",
       "      <td>18.00</td>\n",
       "      <td>...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>9.70</td>\n",
       "      <td>73</td>\n",
       "      <td>991.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>79</td>\n",
       "      <td>14.60</td>\n",
       "      <td>18.00</td>\n",
       "      <td>...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>9.70</td>\n",
       "      <td>73</td>\n",
       "      <td>991.40</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>50</td>\n",
       "      <td>13</td>\n",
       "      <td>33</td>\n",
       "      <td>79</td>\n",
       "      <td>14.60</td>\n",
       "      <td>18.00</td>\n",
       "      <td>...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>9.70</td>\n",
       "      <td>73</td>\n",
       "      <td>991.40</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>79</td>\n",
       "      <td>14.60</td>\n",
       "      <td>18.00</td>\n",
       "      <td>...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>9.70</td>\n",
       "      <td>73</td>\n",
       "      <td>991.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>491</td>\n",
       "      <td>14</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "      <td>35</td>\n",
       "      <td>79</td>\n",
       "      <td>14.60</td>\n",
       "      <td>18.00</td>\n",
       "      <td>...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>9.70</td>\n",
       "      <td>73</td>\n",
       "      <td>991.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>79</td>\n",
       "      <td>14.60</td>\n",
       "      <td>18.00</td>\n",
       "      <td>...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>9.70</td>\n",
       "      <td>73</td>\n",
       "      <td>991.40</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "      <td>76</td>\n",
       "      <td>6.90</td>\n",
       "      <td>9.20</td>\n",
       "      <td>...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>2.90</td>\n",
       "      <td>76</td>\n",
       "      <td>1,003.50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>76</td>\n",
       "      <td>6.90</td>\n",
       "      <td>9.20</td>\n",
       "      <td>...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>2.90</td>\n",
       "      <td>76</td>\n",
       "      <td>1,003.50</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>30</td>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "      <td>76</td>\n",
       "      <td>6.90</td>\n",
       "      <td>9.20</td>\n",
       "      <td>...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>2.90</td>\n",
       "      <td>76</td>\n",
       "      <td>1,003.50</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>76</td>\n",
       "      <td>6.90</td>\n",
       "      <td>9.20</td>\n",
       "      <td>...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>2.90</td>\n",
       "      <td>76</td>\n",
       "      <td>1,003.50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>76</td>\n",
       "      <td>6.90</td>\n",
       "      <td>9.20</td>\n",
       "      <td>...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>2.90</td>\n",
       "      <td>76</td>\n",
       "      <td>1,003.50</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Date_MM  Date_DD  Flight_num  Arr_t_h  Arr_t_m  Depart_t_h  Depart_t_m  \\\n",
       "0         4       10         538       21       47          18          52   \n",
       "1         4       10        3402       22       52          19          59   \n",
       "2         4       10         116       14       50          13          33   \n",
       "3         4       10        5340       16       21          14          55   \n",
       "4         4       10         491       13       45          11           5   \n",
       "5         4       10         656       16       25          13          35   \n",
       "6         4       11         538       21       47          18          52   \n",
       "7         4       11        3402       22       52          19          59   \n",
       "8         4       11         116       14       50          13          33   \n",
       "9         4       11        5340       16       21          14          55   \n",
       "10        4       11         491       14       20          11          35   \n",
       "11        4       11         656       16       25          13          35   \n",
       "12        4       12         538       21       47          18          52   \n",
       "13        4       12        3402       22       52          19          59   \n",
       "14        4       12         116       14       50          13          33   \n",
       "15        4       12        5340       16       21          14          55   \n",
       "16        4       12         491       14       20          11          35   \n",
       "17        4       12         656       16       25          13          35   \n",
       "18        4       13         538       21       47          18          52   \n",
       "19        4       13        3402       22       52          19          59   \n",
       "20        4       13         116       14       30          13          12   \n",
       "21        4       13        5340       16       21          14          55   \n",
       "22        4       13         656       16       25          13          35   \n",
       "\n",
       "    clouds  temp  max_temp  ...   uv  dewpt  rh      slp  Carrier_B6  \\\n",
       "0       79 15.00     17.60  ... 2.20  10.20  73 1,013.10           0   \n",
       "1       79 15.00     17.60  ... 2.20  10.20  73 1,013.10           0   \n",
       "2       79 15.00     17.60  ... 2.20  10.20  73 1,013.10           1   \n",
       "3       79 15.00     17.60  ... 2.20  10.20  73 1,013.10           0   \n",
       "4       79 15.00     17.60  ... 2.20  10.20  73 1,013.10           0   \n",
       "5       79 15.00     17.60  ... 2.20  10.20  73 1,013.10           1   \n",
       "6       88 15.80     20.00  ... 2.30  12.00  78 1,008.10           0   \n",
       "7       88 15.80     20.00  ... 2.30  12.00  78 1,008.10           0   \n",
       "8       88 15.80     20.00  ... 2.30  12.00  78 1,008.10           1   \n",
       "9       88 15.80     20.00  ... 2.30  12.00  78 1,008.10           0   \n",
       "10      88 15.80     20.00  ... 2.30  12.00  78 1,008.10           0   \n",
       "11      88 15.80     20.00  ... 2.30  12.00  78 1,008.10           1   \n",
       "12      79 14.60     18.00  ... 3.50   9.70  73   991.40           0   \n",
       "13      79 14.60     18.00  ... 3.50   9.70  73   991.40           0   \n",
       "14      79 14.60     18.00  ... 3.50   9.70  73   991.40           1   \n",
       "15      79 14.60     18.00  ... 3.50   9.70  73   991.40           0   \n",
       "16      79 14.60     18.00  ... 3.50   9.70  73   991.40           0   \n",
       "17      79 14.60     18.00  ... 3.50   9.70  73   991.40           1   \n",
       "18      76  6.90      9.20  ... 3.50   2.90  76 1,003.50           0   \n",
       "19      76  6.90      9.20  ... 3.50   2.90  76 1,003.50           0   \n",
       "20      76  6.90      9.20  ... 3.50   2.90  76 1,003.50           1   \n",
       "21      76  6.90      9.20  ... 3.50   2.90  76 1,003.50           0   \n",
       "22      76  6.90      9.20  ... 3.50   2.90  76 1,003.50           1   \n",
       "\n",
       "    Carrier_MQ  Carrier_UA  Carrier_WN  Origin_MCO  Origin_ORD  \n",
       "0            0           1           0           0           1  \n",
       "1            1           0           0           0           1  \n",
       "2            0           0           0           0           0  \n",
       "3            0           0           0           0           0  \n",
       "4            0           0           1           1           0  \n",
       "5            0           0           0           1           0  \n",
       "6            0           1           0           0           1  \n",
       "7            1           0           0           0           1  \n",
       "8            0           0           0           0           0  \n",
       "9            0           0           0           0           0  \n",
       "10           0           0           1           1           0  \n",
       "11           0           0           0           1           0  \n",
       "12           0           1           0           0           1  \n",
       "13           1           0           0           0           1  \n",
       "14           0           0           0           0           0  \n",
       "15           0           0           0           0           0  \n",
       "16           0           0           1           1           0  \n",
       "17           0           0           0           1           0  \n",
       "18           0           1           0           0           1  \n",
       "19           1           0           0           0           1  \n",
       "20           0           0           0           0           0  \n",
       "21           0           0           0           0           0  \n",
       "22           0           0           0           1           0  \n",
       "\n",
       "[23 rows x 28 columns]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_initials = pd.get_dummies(test_initials, columns = ['Carrier', 'Origin','Dest'], \n",
    "                               drop_first = True)\n",
    "\n",
    "test_initials"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Predicting initial test data using pre-trained model - Random Forest Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 2, 2, 0, 2, 0, 0, 2, 2, 2, 2, 0, 0, 2, 0, 2, 2, 0, 0, 2, 0,\n",
       "       2], dtype=int64)"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y1_pred = rf_classifier.predict(test_initials)\n",
    "#y1_pred = gb.predict(test_initials)\n",
    "#y1_pred = xgb_classifier.predict(test_initials)\n",
    "#y1_pred = Log_reg.predict(test_initials)\n",
    "y1_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "label_mapping = {\n",
    "    0: \"Early\",\n",
    "    1: \"On Time\",\n",
    "    2: \"Late\"\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Early', 'Early', 'Late', 'Late', 'Early', 'Late', 'Early',\n",
       "       'Early', 'Late', 'Late', 'Late', 'Late', 'Early', 'Early', 'Late',\n",
       "       'Early', 'Late', 'Late', 'Early', 'Early', 'Late', 'Early', 'Late'],\n",
       "      dtype='<U5')"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions = np.vectorize(label_mapping.get)(y1_pred)\n",
    "predictions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Final predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Carrier</th>\n",
       "      <th>Flight_Num</th>\n",
       "      <th>Origin</th>\n",
       "      <th>Dest</th>\n",
       "      <th>Scheduled Arrival Time</th>\n",
       "      <th>Scheduled departure time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 21:47:00</td>\n",
       "      <td>2024-05-02 18:52:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 22:52:00</td>\n",
       "      <td>2024-05-02 19:59:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:51:00</td>\n",
       "      <td>2024-05-02 13:34:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>9E</td>\n",
       "      <td>5340</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:21:00</td>\n",
       "      <td>2024-05-02 14:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>WN</td>\n",
       "      <td>491</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:20:00</td>\n",
       "      <td>2024-05-02 11:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>B6</td>\n",
       "      <td>656</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:25:00</td>\n",
       "      <td>2024-05-02 13:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2024-04-20</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 21:47:00</td>\n",
       "      <td>2024-05-02 18:52:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2024-04-20</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 22:52:00</td>\n",
       "      <td>2024-05-02 19:59:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2024-04-20</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:41:00</td>\n",
       "      <td>2024-05-02 13:25:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2024-04-20</td>\n",
       "      <td>9E</td>\n",
       "      <td>5340</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:21:00</td>\n",
       "      <td>2024-05-02 14:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2024-04-20</td>\n",
       "      <td>B6</td>\n",
       "      <td>656</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:25:00</td>\n",
       "      <td>2024-05-02 13:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 21:47:00</td>\n",
       "      <td>2024-05-02 18:52:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 22:52:00</td>\n",
       "      <td>2024-05-02 19:59:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:51:00</td>\n",
       "      <td>2024-05-02 13:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>9E</td>\n",
       "      <td>5340</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:21:00</td>\n",
       "      <td>2024-05-02 14:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>WN</td>\n",
       "      <td>491</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 13:50:00</td>\n",
       "      <td>2024-05-02 11:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>B6</td>\n",
       "      <td>656</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:25:00</td>\n",
       "      <td>2024-05-02 13:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 21:47:00</td>\n",
       "      <td>2024-05-02 18:52:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 22:52:00</td>\n",
       "      <td>2024-05-02 19:59:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:51:00</td>\n",
       "      <td>2024-05-02 13:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>9E</td>\n",
       "      <td>5340</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:21:00</td>\n",
       "      <td>2024-05-02 14:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>WN</td>\n",
       "      <td>491</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:20:00</td>\n",
       "      <td>2024-05-02 11:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>B6</td>\n",
       "      <td>656</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:25:00</td>\n",
       "      <td>2024-05-02 13:34:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date Carrier  Flight_Num Origin Dest Scheduled Arrival Time  \\\n",
       "0  2024-04-19      UA         538    ORD  SYR    2024-05-02 21:47:00   \n",
       "1  2024-04-19      MQ        3402    ORD  SYR    2024-05-02 22:52:00   \n",
       "2  2024-04-19      B6         116    JFK  SYR    2024-05-02 14:51:00   \n",
       "3  2024-04-19      9E        5340    JFK  SYR    2024-05-02 16:21:00   \n",
       "4  2024-04-19      WN         491    MCO  SYR    2024-05-02 14:20:00   \n",
       "5  2024-04-19      B6         656    MCO  SYR    2024-05-02 16:25:00   \n",
       "6  2024-04-20      UA         538    ORD  SYR    2024-05-02 21:47:00   \n",
       "7  2024-04-20      MQ        3402    ORD  SYR    2024-05-02 22:52:00   \n",
       "8  2024-04-20      B6         116    JFK  SYR    2024-05-02 14:41:00   \n",
       "9  2024-04-20      9E        5340    JFK  SYR    2024-05-02 16:21:00   \n",
       "10 2024-04-20      B6         656    MCO  SYR    2024-05-02 16:25:00   \n",
       "11 2024-04-21      UA         538    ORD  SYR    2024-05-02 21:47:00   \n",
       "12 2024-04-21      MQ        3402    ORD  SYR    2024-05-02 22:52:00   \n",
       "13 2024-04-21      B6         116    JFK  SYR    2024-05-02 14:51:00   \n",
       "14 2024-04-21      9E        5340    JFK  SYR    2024-05-02 16:21:00   \n",
       "15 2024-04-21      WN         491    MCO  SYR    2024-05-02 13:50:00   \n",
       "16 2024-04-21      B6         656    MCO  SYR    2024-05-02 16:25:00   \n",
       "17 2024-04-22      UA         538    ORD  SYR    2024-05-02 21:47:00   \n",
       "18 2024-04-22      MQ        3402    ORD  SYR    2024-05-02 22:52:00   \n",
       "19 2024-04-22      B6         116    JFK  SYR    2024-05-02 14:51:00   \n",
       "20 2024-04-22      9E        5340    JFK  SYR    2024-05-02 16:21:00   \n",
       "21 2024-04-22      WN         491    MCO  SYR    2024-05-02 14:20:00   \n",
       "22 2024-04-22      B6         656    MCO  SYR    2024-05-02 16:25:00   \n",
       "\n",
       "   Scheduled departure time  \n",
       "0       2024-05-02 18:52:00  \n",
       "1       2024-05-02 19:59:00  \n",
       "2       2024-05-02 13:34:00  \n",
       "3       2024-05-02 14:55:00  \n",
       "4       2024-05-02 11:35:00  \n",
       "5       2024-05-02 13:35:00  \n",
       "6       2024-05-02 18:52:00  \n",
       "7       2024-05-02 19:59:00  \n",
       "8       2024-05-02 13:25:00  \n",
       "9       2024-05-02 14:55:00  \n",
       "10      2024-05-02 13:35:00  \n",
       "11      2024-05-02 18:52:00  \n",
       "12      2024-05-02 19:59:00  \n",
       "13      2024-05-02 13:35:00  \n",
       "14      2024-05-02 14:55:00  \n",
       "15      2024-05-02 11:05:00  \n",
       "16      2024-05-02 13:35:00  \n",
       "17      2024-05-02 18:52:00  \n",
       "18      2024-05-02 19:59:00  \n",
       "19      2024-05-02 13:35:00  \n",
       "20      2024-05-02 14:55:00  \n",
       "21      2024-05-02 11:35:00  \n",
       "22      2024-05-02 13:34:00  "
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Reading flight data for final predictions\n",
    "final_flight = pd.read_csv(r\"C:\\Users\\VIKAS\\Documents\\Intro to ML\\Project\\datasets\\flight_finals.csv\", \n",
    "                          parse_dates = ['Date', 'Scheduled Arrival Time', \n",
    "                                         'Scheduled departure time'])\n",
    "\n",
    "final_flight\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Carrier</th>\n",
       "      <th>Origin</th>\n",
       "      <th>Dest</th>\n",
       "      <th>Date_MM</th>\n",
       "      <th>Date_DD</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>UA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
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       "      <td>18</td>\n",
       "      <td>52</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>B6</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
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       "      <td>19</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
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       "      <td>13</td>\n",
       "      <td>34</td>\n",
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       "      <td>2024-04-19</td>\n",
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       "      <td>JFK</td>\n",
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       "      <td>5340</td>\n",
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       "      <td>14</td>\n",
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       "      <td>2024-04-19</td>\n",
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       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
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       "      <td>491</td>\n",
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       "      <td>11</td>\n",
       "      <td>35</td>\n",
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       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2024-04-20</td>\n",
       "      <td>UA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2024-04-20</td>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
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       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
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       "      <td>14</td>\n",
       "      <td>41</td>\n",
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       "      <td>4</td>\n",
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       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
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       "      <td>MCO</td>\n",
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       "      <td>13</td>\n",
       "      <td>35</td>\n",
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       "      <th>11</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>UA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
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       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
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       "      <td>3402</td>\n",
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       "      <td>19</td>\n",
       "      <td>59</td>\n",
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       "      <td>2024-04-21</td>\n",
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       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>51</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>WN</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>491</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
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       "      <th>16</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
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       "      <th>17</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>UA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
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       "      <th>18</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
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       "      <td>59</td>\n",
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       "      <th>19</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>B6</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
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       "      <td>13</td>\n",
       "      <td>35</td>\n",
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       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
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       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
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       "      <th>21</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>WN</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>491</td>\n",
       "      <td>14</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "      <td>35</td>\n",
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       "      <th>22</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date Carrier Origin Dest  Date_MM  Date_DD  Flight_num  Arr_t_h  \\\n",
       "0  2024-04-19      UA    ORD  SYR        4       19         538       21   \n",
       "1  2024-04-19      MQ    ORD  SYR        4       19        3402       22   \n",
       "2  2024-04-19      B6    JFK  SYR        4       19         116       14   \n",
       "3  2024-04-19      9E    JFK  SYR        4       19        5340       16   \n",
       "4  2024-04-19      WN    MCO  SYR        4       19         491       14   \n",
       "5  2024-04-19      B6    MCO  SYR        4       19         656       16   \n",
       "6  2024-04-20      UA    ORD  SYR        4       20         538       21   \n",
       "7  2024-04-20      MQ    ORD  SYR        4       20        3402       22   \n",
       "8  2024-04-20      B6    JFK  SYR        4       20         116       14   \n",
       "9  2024-04-20      9E    JFK  SYR        4       20        5340       16   \n",
       "10 2024-04-20      B6    MCO  SYR        4       20         656       16   \n",
       "11 2024-04-21      UA    ORD  SYR        4       21         538       21   \n",
       "12 2024-04-21      MQ    ORD  SYR        4       21        3402       22   \n",
       "13 2024-04-21      B6    JFK  SYR        4       21         116       14   \n",
       "14 2024-04-21      9E    JFK  SYR        4       21        5340       16   \n",
       "15 2024-04-21      WN    MCO  SYR        4       21         491       13   \n",
       "16 2024-04-21      B6    MCO  SYR        4       21         656       16   \n",
       "17 2024-04-22      UA    ORD  SYR        4       22         538       21   \n",
       "18 2024-04-22      MQ    ORD  SYR        4       22        3402       22   \n",
       "19 2024-04-22      B6    JFK  SYR        4       22         116       14   \n",
       "20 2024-04-22      9E    JFK  SYR        4       22        5340       16   \n",
       "21 2024-04-22      WN    MCO  SYR        4       22         491       14   \n",
       "22 2024-04-22      B6    MCO  SYR        4       22         656       16   \n",
       "\n",
       "    Arr_t_m  Depart_t_h  Depart_t_m  \n",
       "0        47          18          52  \n",
       "1        52          19          59  \n",
       "2        51          13          34  \n",
       "3        21          14          55  \n",
       "4        20          11          35  \n",
       "5        25          13          35  \n",
       "6        47          18          52  \n",
       "7        52          19          59  \n",
       "8        41          13          25  \n",
       "9        21          14          55  \n",
       "10       25          13          35  \n",
       "11       47          18          52  \n",
       "12       52          19          59  \n",
       "13       51          13          35  \n",
       "14       21          14          55  \n",
       "15       50          11           5  \n",
       "16       25          13          35  \n",
       "17       47          18          52  \n",
       "18       52          19          59  \n",
       "19       51          13          35  \n",
       "20       21          14          55  \n",
       "21       20          11          35  \n",
       "22       25          13          34  "
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_flight['Date_MM'] = final_flight['Date'].dt.month\n",
    "final_flight['Date_DD'] = final_flight['Date'].dt.day\n",
    "\n",
    "final_flight['Flight_num'] = final_flight['Flight_Num']\n",
    "\n",
    "\n",
    "final_flight['Arr_t_h'] = final_flight['Scheduled Arrival Time'].dt.hour\n",
    "final_flight['Arr_t_m'] = final_flight['Scheduled Arrival Time'].dt.minute\n",
    "final_flight['Depart_t_h'] = final_flight['Scheduled departure time'].dt.hour\n",
    "final_flight['Depart_t_m'] = final_flight['Scheduled departure time'].dt.minute\n",
    "\n",
    "final_flight.drop(columns = ['Scheduled Arrival Time', 'Scheduled departure time', 'Flight_Num'], \n",
    "                  inplace = True)\n",
    "\n",
    "final_flight"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
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       "      <td>57</td>\n",
       "      <td>1,019.50</td>\n",
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       "      <th>1</th>\n",
       "      <td>MQ</td>\n",
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       "      <td>4</td>\n",
       "      <td>19</td>\n",
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       "      <td>1,019.50</td>\n",
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       "      <th>2</th>\n",
       "      <td>B6</td>\n",
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       "      <td>19</td>\n",
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       "      <td>13</td>\n",
       "      <td>34</td>\n",
       "      <td>...</td>\n",
       "      <td>4.20</td>\n",
       "      <td>4.60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>42.56</td>\n",
       "      <td>1,003.50</td>\n",
       "      <td>8.30</td>\n",
       "      <td>3.90</td>\n",
       "      <td>57</td>\n",
       "      <td>1,019.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>...</td>\n",
       "      <td>4.20</td>\n",
       "      <td>4.60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>42.56</td>\n",
       "      <td>1,003.50</td>\n",
       "      <td>8.30</td>\n",
       "      <td>3.90</td>\n",
       "      <td>57</td>\n",
       "      <td>1,019.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>WN</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>491</td>\n",
       "      <td>14</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "      <td>35</td>\n",
       "      <td>...</td>\n",
       "      <td>4.20</td>\n",
       "      <td>4.60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>42.56</td>\n",
       "      <td>1,003.50</td>\n",
       "      <td>8.30</td>\n",
       "      <td>3.90</td>\n",
       "      <td>57</td>\n",
       "      <td>1,019.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>...</td>\n",
       "      <td>4.20</td>\n",
       "      <td>4.60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>42.56</td>\n",
       "      <td>1,003.50</td>\n",
       "      <td>8.30</td>\n",
       "      <td>3.90</td>\n",
       "      <td>57</td>\n",
       "      <td>1,019.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>UA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "      <td>...</td>\n",
       "      <td>3.40</td>\n",
       "      <td>6.50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25.00</td>\n",
       "      <td>1,007.50</td>\n",
       "      <td>8.40</td>\n",
       "      <td>6.30</td>\n",
       "      <td>78</td>\n",
       "      <td>1,023.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>...</td>\n",
       "      <td>3.40</td>\n",
       "      <td>6.50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25.00</td>\n",
       "      <td>1,007.50</td>\n",
       "      <td>8.40</td>\n",
       "      <td>6.30</td>\n",
       "      <td>78</td>\n",
       "      <td>1,023.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>B6</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>41</td>\n",
       "      <td>13</td>\n",
       "      <td>25</td>\n",
       "      <td>...</td>\n",
       "      <td>3.40</td>\n",
       "      <td>6.50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25.00</td>\n",
       "      <td>1,007.50</td>\n",
       "      <td>8.40</td>\n",
       "      <td>6.30</td>\n",
       "      <td>78</td>\n",
       "      <td>1,023.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>...</td>\n",
       "      <td>3.40</td>\n",
       "      <td>6.50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25.00</td>\n",
       "      <td>1,007.50</td>\n",
       "      <td>8.40</td>\n",
       "      <td>6.30</td>\n",
       "      <td>78</td>\n",
       "      <td>1,023.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>...</td>\n",
       "      <td>3.40</td>\n",
       "      <td>6.50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25.00</td>\n",
       "      <td>1,007.50</td>\n",
       "      <td>8.40</td>\n",
       "      <td>6.30</td>\n",
       "      <td>78</td>\n",
       "      <td>1,023.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>UA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "      <td>...</td>\n",
       "      <td>1.90</td>\n",
       "      <td>2.70</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13.19</td>\n",
       "      <td>1,002.80</td>\n",
       "      <td>8.40</td>\n",
       "      <td>9.60</td>\n",
       "      <td>85</td>\n",
       "      <td>1,018.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>...</td>\n",
       "      <td>1.90</td>\n",
       "      <td>2.70</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13.19</td>\n",
       "      <td>1,002.80</td>\n",
       "      <td>8.40</td>\n",
       "      <td>9.60</td>\n",
       "      <td>85</td>\n",
       "      <td>1,018.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>B6</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>51</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>...</td>\n",
       "      <td>1.90</td>\n",
       "      <td>2.70</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13.19</td>\n",
       "      <td>1,002.80</td>\n",
       "      <td>8.40</td>\n",
       "      <td>9.60</td>\n",
       "      <td>85</td>\n",
       "      <td>1,018.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>...</td>\n",
       "      <td>1.90</td>\n",
       "      <td>2.70</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13.19</td>\n",
       "      <td>1,002.80</td>\n",
       "      <td>8.40</td>\n",
       "      <td>9.60</td>\n",
       "      <td>85</td>\n",
       "      <td>1,018.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>WN</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>491</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>1.90</td>\n",
       "      <td>2.70</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13.19</td>\n",
       "      <td>1,002.80</td>\n",
       "      <td>8.40</td>\n",
       "      <td>9.60</td>\n",
       "      <td>85</td>\n",
       "      <td>1,018.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>...</td>\n",
       "      <td>1.90</td>\n",
       "      <td>2.70</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13.19</td>\n",
       "      <td>1,002.80</td>\n",
       "      <td>8.40</td>\n",
       "      <td>9.60</td>\n",
       "      <td>85</td>\n",
       "      <td>1,018.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>UA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "      <td>...</td>\n",
       "      <td>5.50</td>\n",
       "      <td>10.90</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17.38</td>\n",
       "      <td>999.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>78</td>\n",
       "      <td>1,015.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>...</td>\n",
       "      <td>5.50</td>\n",
       "      <td>10.90</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17.38</td>\n",
       "      <td>999.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>78</td>\n",
       "      <td>1,015.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>B6</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>51</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>...</td>\n",
       "      <td>5.50</td>\n",
       "      <td>10.90</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17.38</td>\n",
       "      <td>999.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>78</td>\n",
       "      <td>1,015.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>...</td>\n",
       "      <td>5.50</td>\n",
       "      <td>10.90</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17.38</td>\n",
       "      <td>999.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>78</td>\n",
       "      <td>1,015.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>WN</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>491</td>\n",
       "      <td>14</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "      <td>35</td>\n",
       "      <td>...</td>\n",
       "      <td>5.50</td>\n",
       "      <td>10.90</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17.38</td>\n",
       "      <td>999.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>78</td>\n",
       "      <td>1,015.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>34</td>\n",
       "      <td>...</td>\n",
       "      <td>5.50</td>\n",
       "      <td>10.90</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17.38</td>\n",
       "      <td>999.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>78</td>\n",
       "      <td>1,015.40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Carrier Origin Dest  Date_MM  Date_DD  Flight_num  Arr_t_h  Arr_t_m  \\\n",
       "0       UA    ORD  SYR        4       19         538       21       47   \n",
       "1       MQ    ORD  SYR        4       19        3402       22       52   \n",
       "2       B6    JFK  SYR        4       19         116       14       51   \n",
       "3       9E    JFK  SYR        4       19        5340       16       21   \n",
       "4       WN    MCO  SYR        4       19         491       14       20   \n",
       "5       B6    MCO  SYR        4       19         656       16       25   \n",
       "6       UA    ORD  SYR        4       20         538       21       47   \n",
       "7       MQ    ORD  SYR        4       20        3402       22       52   \n",
       "8       B6    JFK  SYR        4       20         116       14       41   \n",
       "9       9E    JFK  SYR        4       20        5340       16       21   \n",
       "10      B6    MCO  SYR        4       20         656       16       25   \n",
       "11      UA    ORD  SYR        4       21         538       21       47   \n",
       "12      MQ    ORD  SYR        4       21        3402       22       52   \n",
       "13      B6    JFK  SYR        4       21         116       14       51   \n",
       "14      9E    JFK  SYR        4       21        5340       16       21   \n",
       "15      WN    MCO  SYR        4       21         491       13       50   \n",
       "16      B6    MCO  SYR        4       21         656       16       25   \n",
       "17      UA    ORD  SYR        4       22         538       21       47   \n",
       "18      MQ    ORD  SYR        4       22        3402       22       52   \n",
       "19      B6    JFK  SYR        4       22         116       14       51   \n",
       "20      9E    JFK  SYR        4       22        5340       16       21   \n",
       "21      WN    MCO  SYR        4       22         491       14       20   \n",
       "22      B6    MCO  SYR        4       22         656       16       25   \n",
       "\n",
       "    Depart_t_h  Depart_t_m  ...  wind_spd  wind_gust_spd  snow  snow_depth  \\\n",
       "0           18          52  ...      4.20           4.60     0           0   \n",
       "1           19          59  ...      4.20           4.60     0           0   \n",
       "2           13          34  ...      4.20           4.60     0           0   \n",
       "3           14          55  ...      4.20           4.60     0           0   \n",
       "4           11          35  ...      4.20           4.60     0           0   \n",
       "5           13          35  ...      4.20           4.60     0           0   \n",
       "6           18          52  ...      3.40           6.50     0           0   \n",
       "7           19          59  ...      3.40           6.50     0           0   \n",
       "8           13          25  ...      3.40           6.50     0           0   \n",
       "9           14          55  ...      3.40           6.50     0           0   \n",
       "10          13          35  ...      3.40           6.50     0           0   \n",
       "11          18          52  ...      1.90           2.70     0           0   \n",
       "12          19          59  ...      1.90           2.70     0           0   \n",
       "13          13          35  ...      1.90           2.70     0           0   \n",
       "14          14          55  ...      1.90           2.70     0           0   \n",
       "15          11           5  ...      1.90           2.70     0           0   \n",
       "16          13          35  ...      1.90           2.70     0           0   \n",
       "17          18          52  ...      5.50          10.90     0           0   \n",
       "18          19          59  ...      5.50          10.90     0           0   \n",
       "19          13          35  ...      5.50          10.90     0           0   \n",
       "20          14          55  ...      5.50          10.90     0           0   \n",
       "21          11          35  ...      5.50          10.90     0           0   \n",
       "22          13          34  ...      5.50          10.90     0           0   \n",
       "\n",
       "    precip     pres   uv  dewpt  rh      slp  \n",
       "0    42.56 1,003.50 8.30   3.90  57 1,019.50  \n",
       "1    42.56 1,003.50 8.30   3.90  57 1,019.50  \n",
       "2    42.56 1,003.50 8.30   3.90  57 1,019.50  \n",
       "3    42.56 1,003.50 8.30   3.90  57 1,019.50  \n",
       "4    42.56 1,003.50 8.30   3.90  57 1,019.50  \n",
       "5    42.56 1,003.50 8.30   3.90  57 1,019.50  \n",
       "6    25.00 1,007.50 8.40   6.30  78 1,023.70  \n",
       "7    25.00 1,007.50 8.40   6.30  78 1,023.70  \n",
       "8    25.00 1,007.50 8.40   6.30  78 1,023.70  \n",
       "9    25.00 1,007.50 8.40   6.30  78 1,023.70  \n",
       "10   25.00 1,007.50 8.40   6.30  78 1,023.70  \n",
       "11   13.19 1,002.80 8.40   9.60  85 1,018.70  \n",
       "12   13.19 1,002.80 8.40   9.60  85 1,018.70  \n",
       "13   13.19 1,002.80 8.40   9.60  85 1,018.70  \n",
       "14   13.19 1,002.80 8.40   9.60  85 1,018.70  \n",
       "15   13.19 1,002.80 8.40   9.60  85 1,018.70  \n",
       "16   13.19 1,002.80 8.40   9.60  85 1,018.70  \n",
       "17   17.38   999.50 8.50   8.50  78 1,015.40  \n",
       "18   17.38   999.50 8.50   8.50  78 1,015.40  \n",
       "19   17.38   999.50 8.50   8.50  78 1,015.40  \n",
       "20   17.38   999.50 8.50   8.50  78 1,015.40  \n",
       "21   17.38   999.50 8.50   8.50  78 1,015.40  \n",
       "22   17.38   999.50 8.50   8.50  78 1,015.40  \n",
       "\n",
       "[23 rows x 25 columns]"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merging flight data and tesing weather data for final predictions based on dates\n",
    "test_finals = pd.merge(final_flight, test_weather, left_on='Date', right_on='datetime')\n",
    "test_finals.drop(columns = ['datetime', 'Date'], inplace=True)\n",
    "\n",
    "test_finals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
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       "      <th>Date_MM</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
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       "      <td>12.40</td>\n",
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       "      <td>57</td>\n",
       "      <td>1,019.50</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>14</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "      <td>35</td>\n",
       "      <td>84</td>\n",
       "      <td>12.40</td>\n",
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       "      <td>3.90</td>\n",
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       "      <td>25</td>\n",
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       "      <td>35</td>\n",
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       "      <th>6</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "      <td>49</td>\n",
       "      <td>10.10</td>\n",
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       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>49</td>\n",
       "      <td>10.10</td>\n",
       "      <td>19.80</td>\n",
       "      <td>...</td>\n",
       "      <td>8.40</td>\n",
       "      <td>6.30</td>\n",
       "      <td>78</td>\n",
       "      <td>1,023.70</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4</td>\n",
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       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>41</td>\n",
       "      <td>13</td>\n",
       "      <td>25</td>\n",
       "      <td>49</td>\n",
       "      <td>10.10</td>\n",
       "      <td>19.80</td>\n",
       "      <td>...</td>\n",
       "      <td>8.40</td>\n",
       "      <td>6.30</td>\n",
       "      <td>78</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <th>9</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
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       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>49</td>\n",
       "      <td>10.10</td>\n",
       "      <td>19.80</td>\n",
       "      <td>...</td>\n",
       "      <td>8.40</td>\n",
       "      <td>6.30</td>\n",
       "      <td>78</td>\n",
       "      <td>1,023.70</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>49</td>\n",
       "      <td>10.10</td>\n",
       "      <td>19.80</td>\n",
       "      <td>...</td>\n",
       "      <td>8.40</td>\n",
       "      <td>6.30</td>\n",
       "      <td>78</td>\n",
       "      <td>1,023.70</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "      <td>90</td>\n",
       "      <td>12.20</td>\n",
       "      <td>17.90</td>\n",
       "      <td>...</td>\n",
       "      <td>8.40</td>\n",
       "      <td>9.60</td>\n",
       "      <td>85</td>\n",
       "      <td>1,018.70</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>90</td>\n",
       "      <td>12.20</td>\n",
       "      <td>17.90</td>\n",
       "      <td>...</td>\n",
       "      <td>8.40</td>\n",
       "      <td>9.60</td>\n",
       "      <td>85</td>\n",
       "      <td>1,018.70</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>51</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>90</td>\n",
       "      <td>12.20</td>\n",
       "      <td>17.90</td>\n",
       "      <td>...</td>\n",
       "      <td>8.40</td>\n",
       "      <td>9.60</td>\n",
       "      <td>85</td>\n",
       "      <td>1,018.70</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>90</td>\n",
       "      <td>12.20</td>\n",
       "      <td>17.90</td>\n",
       "      <td>...</td>\n",
       "      <td>8.40</td>\n",
       "      <td>9.60</td>\n",
       "      <td>85</td>\n",
       "      <td>1,018.70</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>491</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>90</td>\n",
       "      <td>12.20</td>\n",
       "      <td>17.90</td>\n",
       "      <td>...</td>\n",
       "      <td>8.40</td>\n",
       "      <td>9.60</td>\n",
       "      <td>85</td>\n",
       "      <td>1,018.70</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>90</td>\n",
       "      <td>12.20</td>\n",
       "      <td>17.90</td>\n",
       "      <td>...</td>\n",
       "      <td>8.40</td>\n",
       "      <td>9.60</td>\n",
       "      <td>85</td>\n",
       "      <td>1,018.70</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "      <td>72</td>\n",
       "      <td>12.40</td>\n",
       "      <td>18.60</td>\n",
       "      <td>...</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>78</td>\n",
       "      <td>1,015.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>72</td>\n",
       "      <td>12.40</td>\n",
       "      <td>18.60</td>\n",
       "      <td>...</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>78</td>\n",
       "      <td>1,015.40</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>51</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>72</td>\n",
       "      <td>12.40</td>\n",
       "      <td>18.60</td>\n",
       "      <td>...</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>78</td>\n",
       "      <td>1,015.40</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>72</td>\n",
       "      <td>12.40</td>\n",
       "      <td>18.60</td>\n",
       "      <td>...</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>78</td>\n",
       "      <td>1,015.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>491</td>\n",
       "      <td>14</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "      <td>35</td>\n",
       "      <td>72</td>\n",
       "      <td>12.40</td>\n",
       "      <td>18.60</td>\n",
       "      <td>...</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>78</td>\n",
       "      <td>1,015.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>34</td>\n",
       "      <td>72</td>\n",
       "      <td>12.40</td>\n",
       "      <td>18.60</td>\n",
       "      <td>...</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>78</td>\n",
       "      <td>1,015.40</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Date_MM  Date_DD  Flight_num  Arr_t_h  Arr_t_m  Depart_t_h  Depart_t_m  \\\n",
       "0         4       19         538       21       47          18          52   \n",
       "1         4       19        3402       22       52          19          59   \n",
       "2         4       19         116       14       51          13          34   \n",
       "3         4       19        5340       16       21          14          55   \n",
       "4         4       19         491       14       20          11          35   \n",
       "5         4       19         656       16       25          13          35   \n",
       "6         4       20         538       21       47          18          52   \n",
       "7         4       20        3402       22       52          19          59   \n",
       "8         4       20         116       14       41          13          25   \n",
       "9         4       20        5340       16       21          14          55   \n",
       "10        4       20         656       16       25          13          35   \n",
       "11        4       21         538       21       47          18          52   \n",
       "12        4       21        3402       22       52          19          59   \n",
       "13        4       21         116       14       51          13          35   \n",
       "14        4       21        5340       16       21          14          55   \n",
       "15        4       21         491       13       50          11           5   \n",
       "16        4       21         656       16       25          13          35   \n",
       "17        4       22         538       21       47          18          52   \n",
       "18        4       22        3402       22       52          19          59   \n",
       "19        4       22         116       14       51          13          35   \n",
       "20        4       22        5340       16       21          14          55   \n",
       "21        4       22         491       14       20          11          35   \n",
       "22        4       22         656       16       25          13          34   \n",
       "\n",
       "    clouds  temp  max_temp  ...   uv  dewpt  rh      slp  Carrier_B6  \\\n",
       "0       84 12.40     16.70  ... 8.30   3.90  57 1,019.50           0   \n",
       "1       84 12.40     16.70  ... 8.30   3.90  57 1,019.50           0   \n",
       "2       84 12.40     16.70  ... 8.30   3.90  57 1,019.50           1   \n",
       "3       84 12.40     16.70  ... 8.30   3.90  57 1,019.50           0   \n",
       "4       84 12.40     16.70  ... 8.30   3.90  57 1,019.50           0   \n",
       "5       84 12.40     16.70  ... 8.30   3.90  57 1,019.50           1   \n",
       "6       49 10.10     19.80  ... 8.40   6.30  78 1,023.70           0   \n",
       "7       49 10.10     19.80  ... 8.40   6.30  78 1,023.70           0   \n",
       "8       49 10.10     19.80  ... 8.40   6.30  78 1,023.70           1   \n",
       "9       49 10.10     19.80  ... 8.40   6.30  78 1,023.70           0   \n",
       "10      49 10.10     19.80  ... 8.40   6.30  78 1,023.70           1   \n",
       "11      90 12.20     17.90  ... 8.40   9.60  85 1,018.70           0   \n",
       "12      90 12.20     17.90  ... 8.40   9.60  85 1,018.70           0   \n",
       "13      90 12.20     17.90  ... 8.40   9.60  85 1,018.70           1   \n",
       "14      90 12.20     17.90  ... 8.40   9.60  85 1,018.70           0   \n",
       "15      90 12.20     17.90  ... 8.40   9.60  85 1,018.70           0   \n",
       "16      90 12.20     17.90  ... 8.40   9.60  85 1,018.70           1   \n",
       "17      72 12.40     18.60  ... 8.50   8.50  78 1,015.40           0   \n",
       "18      72 12.40     18.60  ... 8.50   8.50  78 1,015.40           0   \n",
       "19      72 12.40     18.60  ... 8.50   8.50  78 1,015.40           1   \n",
       "20      72 12.40     18.60  ... 8.50   8.50  78 1,015.40           0   \n",
       "21      72 12.40     18.60  ... 8.50   8.50  78 1,015.40           0   \n",
       "22      72 12.40     18.60  ... 8.50   8.50  78 1,015.40           1   \n",
       "\n",
       "    Carrier_MQ  Carrier_UA  Carrier_WN  Origin_MCO  Origin_ORD  \n",
       "0            0           1           0           0           1  \n",
       "1            1           0           0           0           1  \n",
       "2            0           0           0           0           0  \n",
       "3            0           0           0           0           0  \n",
       "4            0           0           1           1           0  \n",
       "5            0           0           0           1           0  \n",
       "6            0           1           0           0           1  \n",
       "7            1           0           0           0           1  \n",
       "8            0           0           0           0           0  \n",
       "9            0           0           0           0           0  \n",
       "10           0           0           0           1           0  \n",
       "11           0           1           0           0           1  \n",
       "12           1           0           0           0           1  \n",
       "13           0           0           0           0           0  \n",
       "14           0           0           0           0           0  \n",
       "15           0           0           1           1           0  \n",
       "16           0           0           0           1           0  \n",
       "17           0           1           0           0           1  \n",
       "18           1           0           0           0           1  \n",
       "19           0           0           0           0           0  \n",
       "20           0           0           0           0           0  \n",
       "21           0           0           1           1           0  \n",
       "22           0           0           0           1           0  \n",
       "\n",
       "[23 rows x 28 columns]"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_finals = pd.get_dummies(test_finals, columns = ['Carrier', 'Origin','Dest'], drop_first = True)\n",
    "\n",
    "test_finals"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Predicting final test data using pre-trained model - Random Forest Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 2, 2, 0, 2, 2, 2, 2, 2, 2,\n",
       "       2], dtype=int64)"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y2_pred = rf_classifier.predict(test_finals)\n",
    "#y2_pred = gb.predict(test_finals)\n",
    "#y2_pred = xgb_classifier.predict(test_finals)\n",
    "#y2_pred = Log_reg.predict(test_finals)\n",
    "\n",
    "y2_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Early', 'Early', 'Early', 'Late', 'Early', 'Early', 'Early',\n",
       "       'Early', 'Early', 'Early', 'Late', 'Early', 'Early', 'Late',\n",
       "       'Late', 'Early', 'Late', 'Late', 'Late', 'Late', 'Late', 'Late',\n",
       "       'Late'], dtype='<U5')"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions = np.vectorize(label_mapping.get)(y2_pred)\n",
    "predictions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Latter flights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-68-95a2ae905f3c>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  First_flights['Carrier1'] = First_flights['Carrier']\n",
      "<ipython-input-68-95a2ae905f3c>:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  First_flights['Flight_num1'] = First_flights['Flight_num']\n",
      "<ipython-input-68-95a2ae905f3c>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  First_flights['Arr_Status1'] = First_flights['Arr_Status']\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Carrier1</th>\n",
       "      <th>Flight_num1</th>\n",
       "      <th>Origin</th>\n",
       "      <th>Arr_Status1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>555</th>\n",
       "      <td>2023-01-01</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>JFK</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>558</th>\n",
       "      <td>2023-01-02</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>JFK</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>561</th>\n",
       "      <td>2023-01-03</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>JFK</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564</th>\n",
       "      <td>2023-01-04</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>JFK</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>2023-01-05</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>JFK</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date Carrier1  Flight_num1 Origin  Arr_Status1\n",
       "555 2023-01-01       B6          116    JFK            2\n",
       "558 2023-01-02       B6          116    JFK            2\n",
       "561 2023-01-03       B6          116    JFK            2\n",
       "564 2023-01-04       B6          116    JFK            2\n",
       "567 2023-01-05       B6          116    JFK            0"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Splitting dataset into first and second flights according to given conditions\n",
    "First_flights = Flight_data[Flight_data['Flight_num'].isin({538, 116, 491})]\n",
    "First_flights['Carrier1'] = First_flights['Carrier']\n",
    "First_flights['Flight_num1'] = First_flights['Flight_num']\n",
    "First_flights['Arr_Status1'] = First_flights['Arr_Status']\n",
    "First_flights = First_flights[['Date', 'Carrier1', 'Flight_num1', 'Origin', 'Arr_Status1']]\n",
    "\n",
    "First_flights.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Date_MM</th>\n",
       "      <th>Date_DD</th>\n",
       "      <th>Carrier</th>\n",
       "      <th>Flight_num</th>\n",
       "      <th>Origin</th>\n",
       "      <th>Dest</th>\n",
       "      <th>Arr_t_h</th>\n",
       "      <th>Arr_t_m</th>\n",
       "      <th>Depart_t_h</th>\n",
       "      <th>Depart_t_m</th>\n",
       "      <th>Arr_Status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2023-06-01</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>22</td>\n",
       "      <td>32</td>\n",
       "      <td>19</td>\n",
       "      <td>42</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2023-06-02</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>22</td>\n",
       "      <td>32</td>\n",
       "      <td>19</td>\n",
       "      <td>42</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>2023-06-03</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>23</td>\n",
       "      <td>41</td>\n",
       "      <td>20</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>2023-06-04</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>22</td>\n",
       "      <td>28</td>\n",
       "      <td>19</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>2023-06-05</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>22</td>\n",
       "      <td>28</td>\n",
       "      <td>19</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date  Date_MM  Date_DD Carrier  Flight_num Origin Dest  Arr_t_h  \\\n",
       "71 2023-06-01        6        1      MQ        3402    ORD  SYR       22   \n",
       "73 2023-06-02        6        2      MQ        3402    ORD  SYR       22   \n",
       "75 2023-06-03        6        3      MQ        3402    ORD  SYR       23   \n",
       "77 2023-06-04        6        4      MQ        3402    ORD  SYR       22   \n",
       "79 2023-06-05        6        5      MQ        3402    ORD  SYR       22   \n",
       "\n",
       "    Arr_t_m  Depart_t_h  Depart_t_m  Arr_Status  \n",
       "71       32          19          42           2  \n",
       "73       32          19          42           1  \n",
       "75       41          20          46           0  \n",
       "77       28          19          39           1  \n",
       "79       28          19          39           0  "
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Second_flights = Flight_data[Flight_data['Flight_num'].isin({3402, 5340, 656})]\n",
    "\n",
    "Second_flights.head()                          "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Date_MM</th>\n",
       "      <th>Date_DD</th>\n",
       "      <th>Carrier</th>\n",
       "      <th>Flight_num</th>\n",
       "      <th>Origin</th>\n",
       "      <th>Dest</th>\n",
       "      <th>Arr_t_h</th>\n",
       "      <th>Arr_t_m</th>\n",
       "      <th>Depart_t_h</th>\n",
       "      <th>Depart_t_m</th>\n",
       "      <th>Arr_Status</th>\n",
       "      <th>Carrier1</th>\n",
       "      <th>Flight_num1</th>\n",
       "      <th>Arr_Status1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-06-01</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>22</td>\n",
       "      <td>32</td>\n",
       "      <td>19</td>\n",
       "      <td>42</td>\n",
       "      <td>2</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-06-05</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>22</td>\n",
       "      <td>28</td>\n",
       "      <td>19</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-06-06</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>22</td>\n",
       "      <td>28</td>\n",
       "      <td>19</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-06-07</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>22</td>\n",
       "      <td>28</td>\n",
       "      <td>19</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-06-08</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>22</td>\n",
       "      <td>28</td>\n",
       "      <td>19</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Date  Date_MM  Date_DD Carrier  Flight_num Origin Dest  Arr_t_h  \\\n",
       "0 2023-06-01        6        1      MQ        3402    ORD  SYR       22   \n",
       "1 2023-06-05        6        5      MQ        3402    ORD  SYR       22   \n",
       "2 2023-06-06        6        6      MQ        3402    ORD  SYR       22   \n",
       "3 2023-06-07        6        7      MQ        3402    ORD  SYR       22   \n",
       "4 2023-06-08        6        8      MQ        3402    ORD  SYR       22   \n",
       "\n",
       "   Arr_t_m  Depart_t_h  Depart_t_m  Arr_Status Carrier1  Flight_num1  \\\n",
       "0       32          19          42           2       UA          538   \n",
       "1       28          19          39           0       UA          538   \n",
       "2       28          19          39           0       UA          538   \n",
       "3       28          19          39           1       UA          538   \n",
       "4       28          19          39           1       UA          538   \n",
       "\n",
       "   Arr_Status1  \n",
       "0            0  \n",
       "1            0  \n",
       "2            2  \n",
       "3            1  \n",
       "4            2  "
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#merging first and second flights based on origin and date\n",
    "Latter_flight = pd.merge(Second_flights, First_flights, on = ['Origin', 'Date'])\n",
    "                              \n",
    "Latter_flight.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>Date_MM</th>\n",
       "      <th>Date_DD</th>\n",
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       "      <td>3402</td>\n",
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       "      <td>SYR</td>\n",
       "      <td>22</td>\n",
       "      <td>28</td>\n",
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       "      <td>39</td>\n",
       "      <td>...</td>\n",
       "      <td>12.40</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>999</td>\n",
       "      <td>5.60</td>\n",
       "      <td>5.10</td>\n",
       "      <td>50</td>\n",
       "      <td>1014</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>22</td>\n",
       "      <td>28</td>\n",
       "      <td>19</td>\n",
       "      <td>39</td>\n",
       "      <td>...</td>\n",
       "      <td>15.60</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>992</td>\n",
       "      <td>7.60</td>\n",
       "      <td>6.90</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>22</td>\n",
       "      <td>28</td>\n",
       "      <td>19</td>\n",
       "      <td>39</td>\n",
       "      <td>...</td>\n",
       "      <td>12.80</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>990</td>\n",
       "      <td>4.90</td>\n",
       "      <td>5.20</td>\n",
       "      <td>56</td>\n",
       "      <td>1005</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Date_MM  Date_DD Carrier  Flight_num Origin Dest  Arr_t_h  Arr_t_m  \\\n",
       "0        6        1      MQ        3402    ORD  SYR       22       32   \n",
       "1        6        1      9E        5340    JFK  SYR        0        4   \n",
       "2        6        5      MQ        3402    ORD  SYR       22       28   \n",
       "3        6        6      MQ        3402    ORD  SYR       22       28   \n",
       "4        6        7      MQ        3402    ORD  SYR       22       28   \n",
       "\n",
       "   Depart_t_h  Depart_t_m  ... wind_gust_spd  snow  snow_depth  precip  pres  \\\n",
       "0          19          42  ...          7.60  0.00        0.00    0.00  1003   \n",
       "1          22          30  ...          7.60  0.00        0.00    0.00  1003   \n",
       "2          19          39  ...         12.40  0.00        0.00    0.00   999   \n",
       "3          19          39  ...         15.60  0.00        0.00    0.00   992   \n",
       "4          19          39  ...         12.80  0.00        0.00    1.00   990   \n",
       "\n",
       "     uv  dewpt  rh   slp  Arr_Status2  \n",
       "0 10.10  10.80  47  1018            2  \n",
       "1 10.10  10.80  47  1018            0  \n",
       "2  5.60   5.10  50  1014            0  \n",
       "3  7.60   6.90  54  1007            0  \n",
       "4  4.90   5.20  56  1005            1  \n",
       "\n",
       "[5 rows x 29 columns]"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# merging latter flight data syracuse weather data based on date\n",
    "Latter_Flight_weather = pd.merge(Latter_flight, SYR_weather, left_on='Date', right_on='datetime')\n",
    "\n",
    "# arrival status of second flights as Arr_Status2\n",
    "Latter_Flight_weather['Arr_Status2'] = Latter_Flight_weather['Arr_Status']\n",
    "Latter_Flight_weather.drop(columns = ['datetime', 'Date', 'Arr_Status'], inplace=True)\n",
    "\n",
    "Latter_Flight_weather.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Date_MM', 'Date_DD', 'Carrier', 'Flight_num', 'Origin', 'Dest',\n",
       "       'Arr_t_h', 'Arr_t_m', 'Depart_t_h', 'Depart_t_m', 'Carrier1',\n",
       "       'Flight_num1', 'Arr_Status1', 'clouds', 'temp', 'max_temp', 'min_temp',\n",
       "       'wind_dir', 'wind_spd', 'wind_gust_spd', 'snow', 'snow_depth', 'precip',\n",
       "       'pres', 'uv', 'dewpt', 'rh', 'slp', 'Arr_Status2'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Latter_Flight_weather.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date_MM          0\n",
       "Date_DD          0\n",
       "Carrier          0\n",
       "Flight_num       0\n",
       "Origin           0\n",
       "Dest             0\n",
       "Arr_t_h          0\n",
       "Arr_t_m          0\n",
       "Depart_t_h       0\n",
       "Depart_t_m       0\n",
       "Carrier1         0\n",
       "Flight_num1      0\n",
       "Arr_Status1      0\n",
       "clouds           0\n",
       "temp             0\n",
       "max_temp         0\n",
       "min_temp         0\n",
       "wind_dir         0\n",
       "wind_spd         0\n",
       "wind_gust_spd    0\n",
       "snow             0\n",
       "snow_depth       0\n",
       "precip           0\n",
       "pres             0\n",
       "uv               0\n",
       "dewpt            0\n",
       "rh               0\n",
       "slp              0\n",
       "Arr_Status2      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Latter_Flight_weather.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date_MM            int64\n",
       "Date_DD            int64\n",
       "Carrier           object\n",
       "Flight_num         int64\n",
       "Origin            object\n",
       "Dest              object\n",
       "Arr_t_h            int64\n",
       "Arr_t_m            int64\n",
       "Depart_t_h         int64\n",
       "Depart_t_m         int64\n",
       "Carrier1          object\n",
       "Flight_num1        int64\n",
       "Arr_Status1        int64\n",
       "clouds             int64\n",
       "temp             float64\n",
       "max_temp         float64\n",
       "min_temp         float64\n",
       "wind_dir           int64\n",
       "wind_spd         float64\n",
       "wind_gust_spd    float64\n",
       "snow             float64\n",
       "snow_depth       float64\n",
       "precip           float64\n",
       "pres               int64\n",
       "uv               float64\n",
       "dewpt            float64\n",
       "rh                 int64\n",
       "slp                int64\n",
       "Arr_Status2        int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Latter_Flight_weather.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>5340</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>30</td>\n",
       "      <td>116</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>...</td>\n",
       "      <td>10.80</td>\n",
       "      <td>47</td>\n",
       "      <td>1018</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>28</td>\n",
       "      <td>19</td>\n",
       "      <td>39</td>\n",
       "      <td>538</td>\n",
       "      <td>0</td>\n",
       "      <td>80</td>\n",
       "      <td>...</td>\n",
       "      <td>5.10</td>\n",
       "      <td>50</td>\n",
       "      <td>1014</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>28</td>\n",
       "      <td>19</td>\n",
       "      <td>39</td>\n",
       "      <td>538</td>\n",
       "      <td>2</td>\n",
       "      <td>94</td>\n",
       "      <td>...</td>\n",
       "      <td>6.90</td>\n",
       "      <td>54</td>\n",
       "      <td>1007</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>28</td>\n",
       "      <td>19</td>\n",
       "      <td>39</td>\n",
       "      <td>538</td>\n",
       "      <td>1</td>\n",
       "      <td>99</td>\n",
       "      <td>...</td>\n",
       "      <td>5.20</td>\n",
       "      <td>56</td>\n",
       "      <td>1005</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Date_MM  Date_DD  Flight_num  Arr_t_h  Arr_t_m  Depart_t_h  Depart_t_m  \\\n",
       "0        6        1        3402       22       32          19          42   \n",
       "1        6        1        5340        0        4          22          30   \n",
       "2        6        5        3402       22       28          19          39   \n",
       "3        6        6        3402       22       28          19          39   \n",
       "4        6        7        3402       22       28          19          39   \n",
       "\n",
       "   Flight_num1  Arr_Status1  clouds  ...  dewpt  rh   slp  Arr_Status2  \\\n",
       "0          538            0      26  ...  10.80  47  1018            2   \n",
       "1          116            0      26  ...  10.80  47  1018            0   \n",
       "2          538            0      80  ...   5.10  50  1014            0   \n",
       "3          538            2      94  ...   6.90  54  1007            0   \n",
       "4          538            1      99  ...   5.20  56  1005            1   \n",
       "\n",
       "   Carrier_B6  Carrier_MQ  Origin_MCO  Origin_ORD  Carrier1_UA  Carrier1_WN  \n",
       "0           0           1           0           1            1            0  \n",
       "1           0           0           0           0            0            0  \n",
       "2           0           1           0           1            1            0  \n",
       "3           0           1           0           1            1            0  \n",
       "4           0           1           0           1            1            0  \n",
       "\n",
       "[5 rows x 31 columns]"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Latter_Flight_weather = pd.get_dummies(Latter_Flight_weather, \n",
    "                                       columns = ['Carrier', 'Origin','Carrier1', 'Dest'], \n",
    "                                       drop_first = True)\n",
    "\n",
    "Latter_Flight_weather.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "100    2\n",
       "10     0\n",
       "4      1\n",
       "81     0\n",
       "97     2\n",
       "65     2\n",
       "30     0\n",
       "33     0\n",
       "93     1\n",
       "11     1\n",
       "47     2\n",
       "42     2\n",
       "0      2\n",
       "78     2\n",
       "18     2\n",
       "64     2\n",
       "67     0\n",
       "79     0\n",
       "55     2\n",
       "44     0\n",
       "12     0\n",
       "80     1\n",
       "Name: Arr_Status2, dtype: int64"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(Latter_Flight_weather.drop(columns = ['Arr_Status2']), \n",
    "                                                    Latter_Flight_weather['Arr_Status2'], test_size=0.2, \n",
    "                                                    random_state=42)\n",
    "\n",
    "X_train\n",
    "X_test\n",
    "y_train\n",
    "y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "if False: \n",
    "    from sklearn.preprocessing import StandardScaler\n",
    "    sc = StandardScaler()\n",
    "    X_train = pd.DataFrame(sc.fit_transform(X_train), columns = X_train.columns, index = X_train.index)\n",
    "    X_test = pd.DataFrame(sc.transform(X_test), columns = X_test.columns, index = X_test.index)\n",
    "    \n",
    "    X_train\n",
    "    X_test\n",
    "    y_train\n",
    "    y_test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Random Forest Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.3181818181818182\n"
     ]
    }
   ],
   "source": [
    "rf_classifier = RandomForestClassifier(random_state=42)\n",
    "rf_classifier.fit(X_train, y_train)\n",
    "\n",
    "y_pred = rf_classifier.predict(X_test)\n",
    "\n",
    "rf_classifier.score(X_train, y_train) \n",
    "\n",
    "print(f\"Accuracy: {accuracy_score(y_test, y_pred)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Gradient Boosting classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.36363636363636365\n"
     ]
    }
   ],
   "source": [
    "gb = GradientBoostingClassifier(random_state=50, min_samples_split = 12, min_samples_leaf = 6, \n",
    "                                max_depth = 4, n_estimators = 100)\n",
    "gb = gb.fit(X_train, y_train) \n",
    "\n",
    "y_pred = gb.predict(X_test)\n",
    "\n",
    "gb.score(X_train, y_train) \n",
    "\n",
    "print(f\"Accuracy: {accuracy_score(y_test, y_pred)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### XGBoost classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.4090909090909091\n"
     ]
    }
   ],
   "source": [
    "xgb_classifier = xgb.XGBClassifier(objective='multi:softmax', num_class=3, random_state=42)\n",
    "xgb_classifier.fit(X_train, y_train)\n",
    " \n",
    "y_pred = xgb_classifier.predict(X_test)\n",
    "\n",
    "print(f\"Accuracy: {accuracy_score(y_test, y_pred)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Initial predictions for Latter flights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Carrier</th>\n",
       "      <th>Flight_Num</th>\n",
       "      <th>Origin</th>\n",
       "      <th>Dest</th>\n",
       "      <th>Scheduled Arrival Time</th>\n",
       "      <th>Scheduled departure time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 21:47:00</td>\n",
       "      <td>2024-05-02 18:52:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 22:52:00</td>\n",
       "      <td>2024-05-02 19:59:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:50:00</td>\n",
       "      <td>2024-05-02 13:33:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>9E</td>\n",
       "      <td>5340</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:21:00</td>\n",
       "      <td>2024-05-02 14:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>WN</td>\n",
       "      <td>491</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 13:45:00</td>\n",
       "      <td>2024-05-02 11:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>B6</td>\n",
       "      <td>656</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:25:00</td>\n",
       "      <td>2024-05-02 13:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 21:47:00</td>\n",
       "      <td>2024-05-02 18:52:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 22:52:00</td>\n",
       "      <td>2024-05-02 19:59:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:50:00</td>\n",
       "      <td>2024-05-02 13:33:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>9E</td>\n",
       "      <td>5340</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:21:00</td>\n",
       "      <td>2024-05-02 14:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>WN</td>\n",
       "      <td>491</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:20:00</td>\n",
       "      <td>2024-05-02 11:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>B6</td>\n",
       "      <td>656</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:25:00</td>\n",
       "      <td>2024-05-02 13:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 21:47:00</td>\n",
       "      <td>2024-05-02 18:52:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 22:52:00</td>\n",
       "      <td>2024-05-02 19:59:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:50:00</td>\n",
       "      <td>2024-05-02 13:33:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>9E</td>\n",
       "      <td>5340</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:21:00</td>\n",
       "      <td>2024-05-02 14:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>WN</td>\n",
       "      <td>491</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:20:00</td>\n",
       "      <td>2024-05-02 11:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>B6</td>\n",
       "      <td>656</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:25:00</td>\n",
       "      <td>2024-05-02 13:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2024-04-13</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 21:47:00</td>\n",
       "      <td>2024-05-02 18:52:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2024-04-13</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 22:52:00</td>\n",
       "      <td>2024-05-02 19:59:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2024-04-13</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:30:00</td>\n",
       "      <td>2024-05-02 13:12:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2024-04-13</td>\n",
       "      <td>9E</td>\n",
       "      <td>5340</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:21:00</td>\n",
       "      <td>2024-05-02 14:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2024-04-13</td>\n",
       "      <td>B6</td>\n",
       "      <td>656</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:25:00</td>\n",
       "      <td>2024-05-02 13:35:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date Carrier  Flight_Num Origin Dest Scheduled Arrival Time  \\\n",
       "0  2024-04-10      UA         538    ORD  SYR    2024-05-02 21:47:00   \n",
       "1  2024-04-10      MQ        3402    ORD  SYR    2024-05-02 22:52:00   \n",
       "2  2024-04-10      B6         116    JFK  SYR    2024-05-02 14:50:00   \n",
       "3  2024-04-10      9E        5340    JFK  SYR    2024-05-02 16:21:00   \n",
       "4  2024-04-10      WN         491    MCO  SYR    2024-05-02 13:45:00   \n",
       "5  2024-04-10      B6         656    MCO  SYR    2024-05-02 16:25:00   \n",
       "6  2024-04-11      UA         538    ORD  SYR    2024-05-02 21:47:00   \n",
       "7  2024-04-11      MQ        3402    ORD  SYR    2024-05-02 22:52:00   \n",
       "8  2024-04-11      B6         116    JFK  SYR    2024-05-02 14:50:00   \n",
       "9  2024-04-11      9E        5340    JFK  SYR    2024-05-02 16:21:00   \n",
       "10 2024-04-11      WN         491    MCO  SYR    2024-05-02 14:20:00   \n",
       "11 2024-04-11      B6         656    MCO  SYR    2024-05-02 16:25:00   \n",
       "12 2024-04-12      UA         538    ORD  SYR    2024-05-02 21:47:00   \n",
       "13 2024-04-12      MQ        3402    ORD  SYR    2024-05-02 22:52:00   \n",
       "14 2024-04-12      B6         116    JFK  SYR    2024-05-02 14:50:00   \n",
       "15 2024-04-12      9E        5340    JFK  SYR    2024-05-02 16:21:00   \n",
       "16 2024-04-12      WN         491    MCO  SYR    2024-05-02 14:20:00   \n",
       "17 2024-04-12      B6         656    MCO  SYR    2024-05-02 16:25:00   \n",
       "18 2024-04-13      UA         538    ORD  SYR    2024-05-02 21:47:00   \n",
       "19 2024-04-13      MQ        3402    ORD  SYR    2024-05-02 22:52:00   \n",
       "20 2024-04-13      B6         116    JFK  SYR    2024-05-02 14:30:00   \n",
       "21 2024-04-13      9E        5340    JFK  SYR    2024-05-02 16:21:00   \n",
       "22 2024-04-13      B6         656    MCO  SYR    2024-05-02 16:25:00   \n",
       "\n",
       "   Scheduled departure time  \n",
       "0       2024-05-02 18:52:00  \n",
       "1       2024-05-02 19:59:00  \n",
       "2       2024-05-02 13:33:00  \n",
       "3       2024-05-02 14:55:00  \n",
       "4       2024-05-02 11:05:00  \n",
       "5       2024-05-02 13:35:00  \n",
       "6       2024-05-02 18:52:00  \n",
       "7       2024-05-02 19:59:00  \n",
       "8       2024-05-02 13:33:00  \n",
       "9       2024-05-02 14:55:00  \n",
       "10      2024-05-02 11:35:00  \n",
       "11      2024-05-02 13:35:00  \n",
       "12      2024-05-02 18:52:00  \n",
       "13      2024-05-02 19:59:00  \n",
       "14      2024-05-02 13:33:00  \n",
       "15      2024-05-02 14:55:00  \n",
       "16      2024-05-02 11:35:00  \n",
       "17      2024-05-02 13:35:00  \n",
       "18      2024-05-02 18:52:00  \n",
       "19      2024-05-02 19:59:00  \n",
       "20      2024-05-02 13:12:00  \n",
       "21      2024-05-02 14:55:00  \n",
       "22      2024-05-02 13:35:00  "
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "initial_flight = pd.read_csv(r\"C:\\Users\\VIKAS\\Documents\\Intro to ML\\Project\\datasets\\flight_initials.csv\", \n",
    "                             parse_dates = ['Date', 'Scheduled Arrival Time', \n",
    "                                            'Scheduled departure time'])\n",
    "\n",
    "initial_flight"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Carrier</th>\n",
       "      <th>Origin</th>\n",
       "      <th>Dest</th>\n",
       "      <th>Date_MM</th>\n",
       "      <th>Date_DD</th>\n",
       "      <th>Flight_num</th>\n",
       "      <th>Arr_t_h</th>\n",
       "      <th>Arr_t_m</th>\n",
       "      <th>Depart_t_h</th>\n",
       "      <th>Depart_t_m</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>UA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
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       "      <th>1</th>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>B6</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>50</td>\n",
       "      <td>13</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2024-04-10</td>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
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       "      <td>2024-04-10</td>\n",
       "      <td>WN</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>491</td>\n",
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       "      <td>11</td>\n",
       "      <td>5</td>\n",
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       "      <td>2024-04-10</td>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>UA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>B6</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>50</td>\n",
       "      <td>13</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>WN</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>491</td>\n",
       "      <td>14</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "      <td>35</td>\n",
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       "      <th>11</th>\n",
       "      <td>2024-04-11</td>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>UA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>B6</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>50</td>\n",
       "      <td>13</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>WN</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>491</td>\n",
       "      <td>14</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2024-04-12</td>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2024-04-13</td>\n",
       "      <td>UA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2024-04-13</td>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2024-04-13</td>\n",
       "      <td>B6</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>30</td>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2024-04-13</td>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2024-04-13</td>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date Carrier Origin Dest  Date_MM  Date_DD  Flight_num  Arr_t_h  \\\n",
       "0  2024-04-10      UA    ORD  SYR        4       10         538       21   \n",
       "1  2024-04-10      MQ    ORD  SYR        4       10        3402       22   \n",
       "2  2024-04-10      B6    JFK  SYR        4       10         116       14   \n",
       "3  2024-04-10      9E    JFK  SYR        4       10        5340       16   \n",
       "4  2024-04-10      WN    MCO  SYR        4       10         491       13   \n",
       "5  2024-04-10      B6    MCO  SYR        4       10         656       16   \n",
       "6  2024-04-11      UA    ORD  SYR        4       11         538       21   \n",
       "7  2024-04-11      MQ    ORD  SYR        4       11        3402       22   \n",
       "8  2024-04-11      B6    JFK  SYR        4       11         116       14   \n",
       "9  2024-04-11      9E    JFK  SYR        4       11        5340       16   \n",
       "10 2024-04-11      WN    MCO  SYR        4       11         491       14   \n",
       "11 2024-04-11      B6    MCO  SYR        4       11         656       16   \n",
       "12 2024-04-12      UA    ORD  SYR        4       12         538       21   \n",
       "13 2024-04-12      MQ    ORD  SYR        4       12        3402       22   \n",
       "14 2024-04-12      B6    JFK  SYR        4       12         116       14   \n",
       "15 2024-04-12      9E    JFK  SYR        4       12        5340       16   \n",
       "16 2024-04-12      WN    MCO  SYR        4       12         491       14   \n",
       "17 2024-04-12      B6    MCO  SYR        4       12         656       16   \n",
       "18 2024-04-13      UA    ORD  SYR        4       13         538       21   \n",
       "19 2024-04-13      MQ    ORD  SYR        4       13        3402       22   \n",
       "20 2024-04-13      B6    JFK  SYR        4       13         116       14   \n",
       "21 2024-04-13      9E    JFK  SYR        4       13        5340       16   \n",
       "22 2024-04-13      B6    MCO  SYR        4       13         656       16   \n",
       "\n",
       "    Arr_t_m  Depart_t_h  Depart_t_m  \n",
       "0        47          18          52  \n",
       "1        52          19          59  \n",
       "2        50          13          33  \n",
       "3        21          14          55  \n",
       "4        45          11           5  \n",
       "5        25          13          35  \n",
       "6        47          18          52  \n",
       "7        52          19          59  \n",
       "8        50          13          33  \n",
       "9        21          14          55  \n",
       "10       20          11          35  \n",
       "11       25          13          35  \n",
       "12       47          18          52  \n",
       "13       52          19          59  \n",
       "14       50          13          33  \n",
       "15       21          14          55  \n",
       "16       20          11          35  \n",
       "17       25          13          35  \n",
       "18       47          18          52  \n",
       "19       52          19          59  \n",
       "20       30          13          12  \n",
       "21       21          14          55  \n",
       "22       25          13          35  "
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "initial_flight['Date_MM'] = initial_flight['Date'].dt.month\n",
    "initial_flight['Date_DD'] = initial_flight['Date'].dt.day\n",
    "\n",
    "initial_flight['Flight_num'] = initial_flight['Flight_Num']\n",
    "\n",
    "initial_flight['Arr_t_h'] = initial_flight['Scheduled Arrival Time'].dt.hour\n",
    "initial_flight['Arr_t_m'] = initial_flight['Scheduled Arrival Time'].dt.minute\n",
    "initial_flight['Depart_t_h'] = initial_flight['Scheduled departure time'].dt.hour\n",
    "initial_flight['Depart_t_m'] = initial_flight['Scheduled departure time'].dt.minute\n",
    "\n",
    "initial_flight.drop(columns = ['Scheduled Arrival Time', 'Scheduled departure time', 'Flight_Num'], \n",
    "                    inplace = True)\n",
    "\n",
    "initial_flight"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-83-f9cdab8bc466>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  First_flights['Carrier1'] = First_flights['Carrier']\n",
      "<ipython-input-83-f9cdab8bc466>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  First_flights['Flight_num1'] = First_flights['Flight_num']\n"
     ]
    },
    {
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      ],
      "text/plain": [
       "         Date Carrier1  Flight_num1 Origin\n",
       "0  2024-04-10       UA          538    ORD\n",
       "2  2024-04-10       B6          116    JFK\n",
       "4  2024-04-10       WN          491    MCO\n",
       "6  2024-04-11       UA          538    ORD\n",
       "8  2024-04-11       B6          116    JFK\n",
       "10 2024-04-11       WN          491    MCO\n",
       "12 2024-04-12       UA          538    ORD\n",
       "14 2024-04-12       B6          116    JFK\n",
       "16 2024-04-12       WN          491    MCO\n",
       "18 2024-04-13       UA          538    ORD\n",
       "20 2024-04-13       B6          116    JFK"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "First_flights = initial_flight[initial_flight['Flight_num'].isin({538, 116, 491})]\n",
    "First_flights['Carrier1'] = First_flights['Carrier']\n",
    "First_flights['Flight_num1'] = First_flights['Flight_num']\n",
    "First_flights = First_flights[['Date', 'Carrier1', 'Flight_num1', 'Origin']]\n",
    "\n",
    "First_flights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
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      ],
      "text/plain": [
       "         Date Carrier Origin Dest  Date_MM  Date_DD  Flight_num  Arr_t_h  \\\n",
       "1  2024-04-10      MQ    ORD  SYR        4       10        3402       22   \n",
       "3  2024-04-10      9E    JFK  SYR        4       10        5340       16   \n",
       "5  2024-04-10      B6    MCO  SYR        4       10         656       16   \n",
       "7  2024-04-11      MQ    ORD  SYR        4       11        3402       22   \n",
       "9  2024-04-11      9E    JFK  SYR        4       11        5340       16   \n",
       "11 2024-04-11      B6    MCO  SYR        4       11         656       16   \n",
       "13 2024-04-12      MQ    ORD  SYR        4       12        3402       22   \n",
       "15 2024-04-12      9E    JFK  SYR        4       12        5340       16   \n",
       "17 2024-04-12      B6    MCO  SYR        4       12         656       16   \n",
       "19 2024-04-13      MQ    ORD  SYR        4       13        3402       22   \n",
       "21 2024-04-13      9E    JFK  SYR        4       13        5340       16   \n",
       "22 2024-04-13      B6    MCO  SYR        4       13         656       16   \n",
       "\n",
       "    Arr_t_m  Depart_t_h  Depart_t_m  \n",
       "1        52          19          59  \n",
       "3        21          14          55  \n",
       "5        25          13          35  \n",
       "7        52          19          59  \n",
       "9        21          14          55  \n",
       "11       25          13          35  \n",
       "13       52          19          59  \n",
       "15       21          14          55  \n",
       "17       25          13          35  \n",
       "19       52          19          59  \n",
       "21       21          14          55  \n",
       "22       25          13          35  "
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Second_flights = initial_flight[initial_flight['Flight_num'].isin({3402, 5340, 656})]\n",
    "\n",
    "Second_flights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
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       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>WN</td>\n",
       "      <td>491</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2024-04-13</td>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2024-04-13</td>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date Carrier Origin Dest  Date_MM  Date_DD  Flight_num  Arr_t_h  \\\n",
       "0  2024-04-10      MQ    ORD  SYR        4       10        3402       22   \n",
       "1  2024-04-10      9E    JFK  SYR        4       10        5340       16   \n",
       "2  2024-04-10      B6    MCO  SYR        4       10         656       16   \n",
       "3  2024-04-11      MQ    ORD  SYR        4       11        3402       22   \n",
       "4  2024-04-11      9E    JFK  SYR        4       11        5340       16   \n",
       "5  2024-04-11      B6    MCO  SYR        4       11         656       16   \n",
       "6  2024-04-12      MQ    ORD  SYR        4       12        3402       22   \n",
       "7  2024-04-12      9E    JFK  SYR        4       12        5340       16   \n",
       "8  2024-04-12      B6    MCO  SYR        4       12         656       16   \n",
       "9  2024-04-13      MQ    ORD  SYR        4       13        3402       22   \n",
       "10 2024-04-13      9E    JFK  SYR        4       13        5340       16   \n",
       "\n",
       "    Arr_t_m  Depart_t_h  Depart_t_m Carrier1  Flight_num1  Arr_Status1  \n",
       "0        52          19          59       UA          538            0  \n",
       "1        21          14          55       B6          116            0  \n",
       "2        25          13          35       WN          491            0  \n",
       "3        52          19          59       UA          538            0  \n",
       "4        21          14          55       B6          116            0  \n",
       "5        25          13          35       WN          491            0  \n",
       "6        52          19          59       UA          538            0  \n",
       "7        21          14          55       B6          116            0  \n",
       "8        25          13          35       WN          491            0  \n",
       "9        52          19          59       UA          538            0  \n",
       "10       21          14          55       B6          116            0  "
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Latter_flight = pd.merge(Second_flights, First_flights, on = ['Origin', 'Date'])\n",
    "Latter_flight['Arr_Status1'] = 0\n",
    "\n",
    "Latter_flight"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Carrier</th>\n",
       "      <th>Origin</th>\n",
       "      <th>Dest</th>\n",
       "      <th>Date_MM</th>\n",
       "      <th>Date_DD</th>\n",
       "      <th>Flight_num</th>\n",
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       "      <th>snow_depth</th>\n",
       "      <th>precip</th>\n",
       "      <th>pres</th>\n",
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       "      <th>0</th>\n",
       "      <td>MQ</td>\n",
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       "      <td>9E</td>\n",
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       "      <td>0</td>\n",
       "      <td>6.80</td>\n",
       "      <td>997.40</td>\n",
       "      <td>2.20</td>\n",
       "      <td>10.20</td>\n",
       "      <td>73</td>\n",
       "      <td>1,013.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
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       "      <td>7.20</td>\n",
       "      <td>10.70</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.15</td>\n",
       "      <td>992.40</td>\n",
       "      <td>2.30</td>\n",
       "      <td>12.00</td>\n",
       "      <td>78</td>\n",
       "      <td>1,008.10</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
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       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
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       "      <td>0</td>\n",
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       "      <td>78</td>\n",
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       "    <tr>\n",
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       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
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       "      <td>MQ</td>\n",
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       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
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       "      <td>73</td>\n",
       "      <td>991.40</td>\n",
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       "    <tr>\n",
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       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>...</td>\n",
       "      <td>10.80</td>\n",
       "      <td>16.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11.50</td>\n",
       "      <td>975.90</td>\n",
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       "      <td>9.70</td>\n",
       "      <td>73</td>\n",
       "      <td>991.40</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>...</td>\n",
       "      <td>10.80</td>\n",
       "      <td>16.40</td>\n",
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       "      <td>0</td>\n",
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       "      <td>73</td>\n",
       "      <td>991.40</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>...</td>\n",
       "      <td>9.80</td>\n",
       "      <td>14.60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.35</td>\n",
       "      <td>987.40</td>\n",
       "      <td>3.50</td>\n",
       "      <td>2.90</td>\n",
       "      <td>76</td>\n",
       "      <td>1,003.50</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>...</td>\n",
       "      <td>9.80</td>\n",
       "      <td>14.60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.35</td>\n",
       "      <td>987.40</td>\n",
       "      <td>3.50</td>\n",
       "      <td>2.90</td>\n",
       "      <td>76</td>\n",
       "      <td>1,003.50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Carrier Origin Dest  Date_MM  Date_DD  Flight_num  Arr_t_h  Arr_t_m  \\\n",
       "0       MQ    ORD  SYR        4       10        3402       22       52   \n",
       "1       9E    JFK  SYR        4       10        5340       16       21   \n",
       "2       B6    MCO  SYR        4       10         656       16       25   \n",
       "3       MQ    ORD  SYR        4       11        3402       22       52   \n",
       "4       9E    JFK  SYR        4       11        5340       16       21   \n",
       "5       B6    MCO  SYR        4       11         656       16       25   \n",
       "6       MQ    ORD  SYR        4       12        3402       22       52   \n",
       "7       9E    JFK  SYR        4       12        5340       16       21   \n",
       "8       B6    MCO  SYR        4       12         656       16       25   \n",
       "9       MQ    ORD  SYR        4       13        3402       22       52   \n",
       "10      9E    JFK  SYR        4       13        5340       16       21   \n",
       "\n",
       "    Depart_t_h  Depart_t_m  ... wind_spd  wind_gust_spd  snow  snow_depth  \\\n",
       "0           19          59  ...     3.50           5.30     0           0   \n",
       "1           14          55  ...     3.50           5.30     0           0   \n",
       "2           13          35  ...     3.50           5.30     0           0   \n",
       "3           19          59  ...     7.20          10.70     0           0   \n",
       "4           14          55  ...     7.20          10.70     0           0   \n",
       "5           13          35  ...     7.20          10.70     0           0   \n",
       "6           19          59  ...    10.80          16.40     0           0   \n",
       "7           14          55  ...    10.80          16.40     0           0   \n",
       "8           13          35  ...    10.80          16.40     0           0   \n",
       "9           19          59  ...     9.80          14.60     0           0   \n",
       "10          14          55  ...     9.80          14.60     0           0   \n",
       "\n",
       "    precip   pres   uv  dewpt  rh      slp  \n",
       "0     6.80 997.40 2.20  10.20  73 1,013.10  \n",
       "1     6.80 997.40 2.20  10.20  73 1,013.10  \n",
       "2     6.80 997.40 2.20  10.20  73 1,013.10  \n",
       "3     6.15 992.40 2.30  12.00  78 1,008.10  \n",
       "4     6.15 992.40 2.30  12.00  78 1,008.10  \n",
       "5     6.15 992.40 2.30  12.00  78 1,008.10  \n",
       "6    11.50 975.90 3.50   9.70  73   991.40  \n",
       "7    11.50 975.90 3.50   9.70  73   991.40  \n",
       "8    11.50 975.90 3.50   9.70  73   991.40  \n",
       "9     4.35 987.40 3.50   2.90  76 1,003.50  \n",
       "10    4.35 987.40 3.50   2.90  76 1,003.50  \n",
       "\n",
       "[11 rows x 28 columns]"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Latter_Flight_weather = pd.merge(Latter_flight, test_weather, left_on='Date', right_on='datetime')\n",
    "Latter_Flight_weather.drop(columns = ['datetime', 'Date'], inplace=True)\n",
    "\n",
    "Latter_Flight_weather"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
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       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>116</td>\n",
       "      <td>0</td>\n",
       "      <td>79</td>\n",
       "      <td>...</td>\n",
       "      <td>2.20</td>\n",
       "      <td>10.20</td>\n",
       "      <td>73</td>\n",
       "      <td>1,013.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>491</td>\n",
       "      <td>0</td>\n",
       "      <td>79</td>\n",
       "      <td>...</td>\n",
       "      <td>2.20</td>\n",
       "      <td>10.20</td>\n",
       "      <td>73</td>\n",
       "      <td>1,013.10</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>538</td>\n",
       "      <td>0</td>\n",
       "      <td>88</td>\n",
       "      <td>...</td>\n",
       "      <td>2.30</td>\n",
       "      <td>12.00</td>\n",
       "      <td>78</td>\n",
       "      <td>1,008.10</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>116</td>\n",
       "      <td>0</td>\n",
       "      <td>88</td>\n",
       "      <td>...</td>\n",
       "      <td>2.30</td>\n",
       "      <td>12.00</td>\n",
       "      <td>78</td>\n",
       "      <td>1,008.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>491</td>\n",
       "      <td>0</td>\n",
       "      <td>88</td>\n",
       "      <td>...</td>\n",
       "      <td>2.30</td>\n",
       "      <td>12.00</td>\n",
       "      <td>78</td>\n",
       "      <td>1,008.10</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>538</td>\n",
       "      <td>0</td>\n",
       "      <td>79</td>\n",
       "      <td>...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>9.70</td>\n",
       "      <td>73</td>\n",
       "      <td>991.40</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>116</td>\n",
       "      <td>0</td>\n",
       "      <td>79</td>\n",
       "      <td>...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>9.70</td>\n",
       "      <td>73</td>\n",
       "      <td>991.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>491</td>\n",
       "      <td>0</td>\n",
       "      <td>79</td>\n",
       "      <td>...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>9.70</td>\n",
       "      <td>73</td>\n",
       "      <td>991.40</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>538</td>\n",
       "      <td>0</td>\n",
       "      <td>76</td>\n",
       "      <td>...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>2.90</td>\n",
       "      <td>76</td>\n",
       "      <td>1,003.50</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>116</td>\n",
       "      <td>0</td>\n",
       "      <td>76</td>\n",
       "      <td>...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>2.90</td>\n",
       "      <td>76</td>\n",
       "      <td>1,003.50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Date_MM  Date_DD  Flight_num  Arr_t_h  Arr_t_m  Depart_t_h  Depart_t_m  \\\n",
       "0         4       10        3402       22       52          19          59   \n",
       "1         4       10        5340       16       21          14          55   \n",
       "2         4       10         656       16       25          13          35   \n",
       "3         4       11        3402       22       52          19          59   \n",
       "4         4       11        5340       16       21          14          55   \n",
       "5         4       11         656       16       25          13          35   \n",
       "6         4       12        3402       22       52          19          59   \n",
       "7         4       12        5340       16       21          14          55   \n",
       "8         4       12         656       16       25          13          35   \n",
       "9         4       13        3402       22       52          19          59   \n",
       "10        4       13        5340       16       21          14          55   \n",
       "\n",
       "    Flight_num1  Arr_Status1  clouds  ...   uv  dewpt  rh      slp  \\\n",
       "0           538            0      79  ... 2.20  10.20  73 1,013.10   \n",
       "1           116            0      79  ... 2.20  10.20  73 1,013.10   \n",
       "2           491            0      79  ... 2.20  10.20  73 1,013.10   \n",
       "3           538            0      88  ... 2.30  12.00  78 1,008.10   \n",
       "4           116            0      88  ... 2.30  12.00  78 1,008.10   \n",
       "5           491            0      88  ... 2.30  12.00  78 1,008.10   \n",
       "6           538            0      79  ... 3.50   9.70  73   991.40   \n",
       "7           116            0      79  ... 3.50   9.70  73   991.40   \n",
       "8           491            0      79  ... 3.50   9.70  73   991.40   \n",
       "9           538            0      76  ... 3.50   2.90  76 1,003.50   \n",
       "10          116            0      76  ... 3.50   2.90  76 1,003.50   \n",
       "\n",
       "    Carrier_B6  Carrier_MQ  Origin_MCO  Origin_ORD  Carrier1_UA  Carrier1_WN  \n",
       "0            0           1           0           1            1            0  \n",
       "1            0           0           0           0            0            0  \n",
       "2            1           0           1           0            0            1  \n",
       "3            0           1           0           1            1            0  \n",
       "4            0           0           0           0            0            0  \n",
       "5            1           0           1           0            0            1  \n",
       "6            0           1           0           1            1            0  \n",
       "7            0           0           0           0            0            0  \n",
       "8            1           0           1           0            0            1  \n",
       "9            0           1           0           1            1            0  \n",
       "10           0           0           0           0            0            0  \n",
       "\n",
       "[11 rows x 30 columns]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Latter_Flight_weather = pd.get_dummies(Latter_Flight_weather, \n",
    "                                       columns = ['Carrier', 'Origin','Carrier1', 'Dest'], \n",
    "                                       drop_first = True)\n",
    "Latter_Flight_weather"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Predicting  initial test data of latter flights using pre-trained model - XGBoost classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 1, 1],\n",
       "       [1, 1, 1],\n",
       "       [1, 1, 2],\n",
       "       [2, 2, 2],\n",
       "       [2, 2, 2],\n",
       "       [2, 2, 2],\n",
       "       [1, 1, 1],\n",
       "       [1, 1, 1],\n",
       "       [2, 2, 2],\n",
       "       [0, 0, 0],\n",
       "       [0, 0, 0]])"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Latter_Flight_weather['Arr_Status1'] = 0\n",
    "y1_pred0 = xgb_classifier.predict(Latter_Flight_weather)\n",
    "\n",
    "Latter_Flight_weather['Arr_Status1'] = 1\n",
    "y1_pred1 = xgb_classifier.predict(Latter_Flight_weather)\n",
    "\n",
    "Latter_Flight_weather['Arr_Status1'] = 2\n",
    "y1_pred2 = xgb_classifier.predict(Latter_Flight_weather)\n",
    "\n",
    "y1_pred = np.column_stack((y1_pred0, y1_pred1, y1_pred2))\n",
    "y1_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([['On Time', 'On Time', 'On Time'],\n",
       "       ['On Time', 'On Time', 'On Time'],\n",
       "       ['On Time', 'On Time', 'Late'],\n",
       "       ['Late', 'Late', 'Late'],\n",
       "       ['Late', 'Late', 'Late'],\n",
       "       ['Late', 'Late', 'Late'],\n",
       "       ['On Time', 'On Time', 'On Time'],\n",
       "       ['On Time', 'On Time', 'On Time'],\n",
       "       ['Late', 'Late', 'Late'],\n",
       "       ['Early', 'Early', 'Early'],\n",
       "       ['Early', 'Early', 'Early']], dtype='<U7')"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions = np.vectorize(label_mapping.get)(y1_pred)\n",
    "predictions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Final predictions for Latter flights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Carrier</th>\n",
       "      <th>Flight_Num</th>\n",
       "      <th>Origin</th>\n",
       "      <th>Dest</th>\n",
       "      <th>Scheduled Arrival Time</th>\n",
       "      <th>Scheduled departure time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 21:47:00</td>\n",
       "      <td>2024-05-02 18:52:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 22:52:00</td>\n",
       "      <td>2024-05-02 19:59:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:51:00</td>\n",
       "      <td>2024-05-02 13:34:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>9E</td>\n",
       "      <td>5340</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:21:00</td>\n",
       "      <td>2024-05-02 14:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>WN</td>\n",
       "      <td>491</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:20:00</td>\n",
       "      <td>2024-05-02 11:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>B6</td>\n",
       "      <td>656</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:25:00</td>\n",
       "      <td>2024-05-02 13:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2024-04-20</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 21:47:00</td>\n",
       "      <td>2024-05-02 18:52:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2024-04-20</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 22:52:00</td>\n",
       "      <td>2024-05-02 19:59:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2024-04-20</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:41:00</td>\n",
       "      <td>2024-05-02 13:25:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2024-04-20</td>\n",
       "      <td>9E</td>\n",
       "      <td>5340</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:21:00</td>\n",
       "      <td>2024-05-02 14:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2024-04-20</td>\n",
       "      <td>B6</td>\n",
       "      <td>656</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:25:00</td>\n",
       "      <td>2024-05-02 13:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 21:47:00</td>\n",
       "      <td>2024-05-02 18:52:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 22:52:00</td>\n",
       "      <td>2024-05-02 19:59:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:51:00</td>\n",
       "      <td>2024-05-02 13:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>9E</td>\n",
       "      <td>5340</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:21:00</td>\n",
       "      <td>2024-05-02 14:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>WN</td>\n",
       "      <td>491</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 13:50:00</td>\n",
       "      <td>2024-05-02 11:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>B6</td>\n",
       "      <td>656</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:25:00</td>\n",
       "      <td>2024-05-02 13:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 21:47:00</td>\n",
       "      <td>2024-05-02 18:52:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>MQ</td>\n",
       "      <td>3402</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 22:52:00</td>\n",
       "      <td>2024-05-02 19:59:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:51:00</td>\n",
       "      <td>2024-05-02 13:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>9E</td>\n",
       "      <td>5340</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:21:00</td>\n",
       "      <td>2024-05-02 14:55:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>WN</td>\n",
       "      <td>491</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 14:20:00</td>\n",
       "      <td>2024-05-02 11:35:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>B6</td>\n",
       "      <td>656</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>2024-05-02 16:25:00</td>\n",
       "      <td>2024-05-02 13:34:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date Carrier  Flight_Num Origin Dest Scheduled Arrival Time  \\\n",
       "0  2024-04-19      UA         538    ORD  SYR    2024-05-02 21:47:00   \n",
       "1  2024-04-19      MQ        3402    ORD  SYR    2024-05-02 22:52:00   \n",
       "2  2024-04-19      B6         116    JFK  SYR    2024-05-02 14:51:00   \n",
       "3  2024-04-19      9E        5340    JFK  SYR    2024-05-02 16:21:00   \n",
       "4  2024-04-19      WN         491    MCO  SYR    2024-05-02 14:20:00   \n",
       "5  2024-04-19      B6         656    MCO  SYR    2024-05-02 16:25:00   \n",
       "6  2024-04-20      UA         538    ORD  SYR    2024-05-02 21:47:00   \n",
       "7  2024-04-20      MQ        3402    ORD  SYR    2024-05-02 22:52:00   \n",
       "8  2024-04-20      B6         116    JFK  SYR    2024-05-02 14:41:00   \n",
       "9  2024-04-20      9E        5340    JFK  SYR    2024-05-02 16:21:00   \n",
       "10 2024-04-20      B6         656    MCO  SYR    2024-05-02 16:25:00   \n",
       "11 2024-04-21      UA         538    ORD  SYR    2024-05-02 21:47:00   \n",
       "12 2024-04-21      MQ        3402    ORD  SYR    2024-05-02 22:52:00   \n",
       "13 2024-04-21      B6         116    JFK  SYR    2024-05-02 14:51:00   \n",
       "14 2024-04-21      9E        5340    JFK  SYR    2024-05-02 16:21:00   \n",
       "15 2024-04-21      WN         491    MCO  SYR    2024-05-02 13:50:00   \n",
       "16 2024-04-21      B6         656    MCO  SYR    2024-05-02 16:25:00   \n",
       "17 2024-04-22      UA         538    ORD  SYR    2024-05-02 21:47:00   \n",
       "18 2024-04-22      MQ        3402    ORD  SYR    2024-05-02 22:52:00   \n",
       "19 2024-04-22      B6         116    JFK  SYR    2024-05-02 14:51:00   \n",
       "20 2024-04-22      9E        5340    JFK  SYR    2024-05-02 16:21:00   \n",
       "21 2024-04-22      WN         491    MCO  SYR    2024-05-02 14:20:00   \n",
       "22 2024-04-22      B6         656    MCO  SYR    2024-05-02 16:25:00   \n",
       "\n",
       "   Scheduled departure time  \n",
       "0       2024-05-02 18:52:00  \n",
       "1       2024-05-02 19:59:00  \n",
       "2       2024-05-02 13:34:00  \n",
       "3       2024-05-02 14:55:00  \n",
       "4       2024-05-02 11:35:00  \n",
       "5       2024-05-02 13:35:00  \n",
       "6       2024-05-02 18:52:00  \n",
       "7       2024-05-02 19:59:00  \n",
       "8       2024-05-02 13:25:00  \n",
       "9       2024-05-02 14:55:00  \n",
       "10      2024-05-02 13:35:00  \n",
       "11      2024-05-02 18:52:00  \n",
       "12      2024-05-02 19:59:00  \n",
       "13      2024-05-02 13:35:00  \n",
       "14      2024-05-02 14:55:00  \n",
       "15      2024-05-02 11:05:00  \n",
       "16      2024-05-02 13:35:00  \n",
       "17      2024-05-02 18:52:00  \n",
       "18      2024-05-02 19:59:00  \n",
       "19      2024-05-02 13:35:00  \n",
       "20      2024-05-02 14:55:00  \n",
       "21      2024-05-02 11:35:00  \n",
       "22      2024-05-02 13:34:00  "
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_flight = pd.read_csv(r\"C:\\Users\\VIKAS\\Documents\\Intro to ML\\Project\\datasets\\flight_finals.csv\", \n",
    "                          parse_dates = ['Date', 'Scheduled Arrival Time', 'Scheduled departure time'])\n",
    "\n",
    "final_flight\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Carrier</th>\n",
       "      <th>Origin</th>\n",
       "      <th>Dest</th>\n",
       "      <th>Date_MM</th>\n",
       "      <th>Date_DD</th>\n",
       "      <th>Flight_num</th>\n",
       "      <th>Arr_t_h</th>\n",
       "      <th>Arr_t_m</th>\n",
       "      <th>Depart_t_h</th>\n",
       "      <th>Depart_t_m</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>UA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>B6</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>51</td>\n",
       "      <td>13</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>WN</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>491</td>\n",
       "      <td>14</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2024-04-20</td>\n",
       "      <td>UA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2024-04-20</td>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2024-04-20</td>\n",
       "      <td>B6</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>41</td>\n",
       "      <td>13</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2024-04-20</td>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2024-04-20</td>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>UA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>B6</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>51</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>WN</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>491</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>UA</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>538</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>B6</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>116</td>\n",
       "      <td>14</td>\n",
       "      <td>51</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>WN</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>491</td>\n",
       "      <td>14</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date Carrier Origin Dest  Date_MM  Date_DD  Flight_num  Arr_t_h  \\\n",
       "0  2024-04-19      UA    ORD  SYR        4       19         538       21   \n",
       "1  2024-04-19      MQ    ORD  SYR        4       19        3402       22   \n",
       "2  2024-04-19      B6    JFK  SYR        4       19         116       14   \n",
       "3  2024-04-19      9E    JFK  SYR        4       19        5340       16   \n",
       "4  2024-04-19      WN    MCO  SYR        4       19         491       14   \n",
       "5  2024-04-19      B6    MCO  SYR        4       19         656       16   \n",
       "6  2024-04-20      UA    ORD  SYR        4       20         538       21   \n",
       "7  2024-04-20      MQ    ORD  SYR        4       20        3402       22   \n",
       "8  2024-04-20      B6    JFK  SYR        4       20         116       14   \n",
       "9  2024-04-20      9E    JFK  SYR        4       20        5340       16   \n",
       "10 2024-04-20      B6    MCO  SYR        4       20         656       16   \n",
       "11 2024-04-21      UA    ORD  SYR        4       21         538       21   \n",
       "12 2024-04-21      MQ    ORD  SYR        4       21        3402       22   \n",
       "13 2024-04-21      B6    JFK  SYR        4       21         116       14   \n",
       "14 2024-04-21      9E    JFK  SYR        4       21        5340       16   \n",
       "15 2024-04-21      WN    MCO  SYR        4       21         491       13   \n",
       "16 2024-04-21      B6    MCO  SYR        4       21         656       16   \n",
       "17 2024-04-22      UA    ORD  SYR        4       22         538       21   \n",
       "18 2024-04-22      MQ    ORD  SYR        4       22        3402       22   \n",
       "19 2024-04-22      B6    JFK  SYR        4       22         116       14   \n",
       "20 2024-04-22      9E    JFK  SYR        4       22        5340       16   \n",
       "21 2024-04-22      WN    MCO  SYR        4       22         491       14   \n",
       "22 2024-04-22      B6    MCO  SYR        4       22         656       16   \n",
       "\n",
       "    Arr_t_m  Depart_t_h  Depart_t_m  \n",
       "0        47          18          52  \n",
       "1        52          19          59  \n",
       "2        51          13          34  \n",
       "3        21          14          55  \n",
       "4        20          11          35  \n",
       "5        25          13          35  \n",
       "6        47          18          52  \n",
       "7        52          19          59  \n",
       "8        41          13          25  \n",
       "9        21          14          55  \n",
       "10       25          13          35  \n",
       "11       47          18          52  \n",
       "12       52          19          59  \n",
       "13       51          13          35  \n",
       "14       21          14          55  \n",
       "15       50          11           5  \n",
       "16       25          13          35  \n",
       "17       47          18          52  \n",
       "18       52          19          59  \n",
       "19       51          13          35  \n",
       "20       21          14          55  \n",
       "21       20          11          35  \n",
       "22       25          13          34  "
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_flight['Date_MM'] = final_flight['Date'].dt.month\n",
    "final_flight['Date_DD'] = final_flight['Date'].dt.day\n",
    "\n",
    "final_flight['Flight_num'] = final_flight['Flight_Num']\n",
    "\n",
    "final_flight['Arr_t_h'] = final_flight['Scheduled Arrival Time'].dt.hour\n",
    "final_flight['Arr_t_m'] = final_flight['Scheduled Arrival Time'].dt.minute\n",
    "final_flight['Depart_t_h'] = final_flight['Scheduled departure time'].dt.hour\n",
    "final_flight['Depart_t_m'] = final_flight['Scheduled departure time'].dt.minute\n",
    "\n",
    "final_flight.drop(columns = ['Scheduled Arrival Time', 'Scheduled departure time', 'Flight_Num'], \n",
    "                  inplace = True)\n",
    "\n",
    "final_flight"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-92-28f418c5ea33>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  First_flights['Carrier1'] = First_flights['Carrier']\n",
      "<ipython-input-92-28f418c5ea33>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  First_flights['Flight_num1'] = First_flights['Flight_num']\n"
     ]
    },
    {
     "data": {
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       "      <td>UA</td>\n",
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       "      <td>2024-04-21</td>\n",
       "      <td>WN</td>\n",
       "      <td>491</td>\n",
       "      <td>MCO</td>\n",
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       "      <th>17</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
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       "    </tr>\n",
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       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2024-04-22</td>\n",
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       "      <td>491</td>\n",
       "      <td>MCO</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date Carrier1  Flight_num1 Origin\n",
       "0  2024-04-19       UA          538    ORD\n",
       "2  2024-04-19       B6          116    JFK\n",
       "4  2024-04-19       WN          491    MCO\n",
       "6  2024-04-20       UA          538    ORD\n",
       "8  2024-04-20       B6          116    JFK\n",
       "11 2024-04-21       UA          538    ORD\n",
       "13 2024-04-21       B6          116    JFK\n",
       "15 2024-04-21       WN          491    MCO\n",
       "17 2024-04-22       UA          538    ORD\n",
       "19 2024-04-22       B6          116    JFK\n",
       "21 2024-04-22       WN          491    MCO"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "First_flights = final_flight[final_flight['Flight_num'].isin({538, 116, 491})]\n",
    "First_flights['Carrier1'] = First_flights['Carrier']\n",
    "First_flights['Flight_num1'] = First_flights['Flight_num']\n",
    "First_flights = First_flights[['Date', 'Carrier1', 'Flight_num1', 'Origin']]\n",
    "\n",
    "First_flights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
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      ],
      "text/plain": [
       "         Date Carrier Origin Dest  Date_MM  Date_DD  Flight_num  Arr_t_h  \\\n",
       "1  2024-04-19      MQ    ORD  SYR        4       19        3402       22   \n",
       "3  2024-04-19      9E    JFK  SYR        4       19        5340       16   \n",
       "5  2024-04-19      B6    MCO  SYR        4       19         656       16   \n",
       "7  2024-04-20      MQ    ORD  SYR        4       20        3402       22   \n",
       "9  2024-04-20      9E    JFK  SYR        4       20        5340       16   \n",
       "10 2024-04-20      B6    MCO  SYR        4       20         656       16   \n",
       "12 2024-04-21      MQ    ORD  SYR        4       21        3402       22   \n",
       "14 2024-04-21      9E    JFK  SYR        4       21        5340       16   \n",
       "16 2024-04-21      B6    MCO  SYR        4       21         656       16   \n",
       "18 2024-04-22      MQ    ORD  SYR        4       22        3402       22   \n",
       "20 2024-04-22      9E    JFK  SYR        4       22        5340       16   \n",
       "22 2024-04-22      B6    MCO  SYR        4       22         656       16   \n",
       "\n",
       "    Arr_t_m  Depart_t_h  Depart_t_m  \n",
       "1        52          19          59  \n",
       "3        21          14          55  \n",
       "5        25          13          35  \n",
       "7        52          19          59  \n",
       "9        21          14          55  \n",
       "10       25          13          35  \n",
       "12       52          19          59  \n",
       "14       21          14          55  \n",
       "16       25          13          35  \n",
       "18       52          19          59  \n",
       "20       21          14          55  \n",
       "22       25          13          34  "
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Second_flights = final_flight[final_flight['Flight_num'].isin({3402, 5340, 656})]\n",
    "\n",
    "Second_flights                              "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
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       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2024-04-19</td>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>WN</td>\n",
       "      <td>491</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2024-04-20</td>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2024-04-20</td>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2024-04-21</td>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>WN</td>\n",
       "      <td>491</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>UA</td>\n",
       "      <td>538</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>B6</td>\n",
       "      <td>116</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2024-04-22</td>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>34</td>\n",
       "      <td>WN</td>\n",
       "      <td>491</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date Carrier Origin Dest  Date_MM  Date_DD  Flight_num  Arr_t_h  \\\n",
       "0  2024-04-19      MQ    ORD  SYR        4       19        3402       22   \n",
       "1  2024-04-19      9E    JFK  SYR        4       19        5340       16   \n",
       "2  2024-04-19      B6    MCO  SYR        4       19         656       16   \n",
       "3  2024-04-20      MQ    ORD  SYR        4       20        3402       22   \n",
       "4  2024-04-20      9E    JFK  SYR        4       20        5340       16   \n",
       "5  2024-04-21      MQ    ORD  SYR        4       21        3402       22   \n",
       "6  2024-04-21      9E    JFK  SYR        4       21        5340       16   \n",
       "7  2024-04-21      B6    MCO  SYR        4       21         656       16   \n",
       "8  2024-04-22      MQ    ORD  SYR        4       22        3402       22   \n",
       "9  2024-04-22      9E    JFK  SYR        4       22        5340       16   \n",
       "10 2024-04-22      B6    MCO  SYR        4       22         656       16   \n",
       "\n",
       "    Arr_t_m  Depart_t_h  Depart_t_m Carrier1  Flight_num1  Arr_Status1  \n",
       "0        52          19          59       UA          538            0  \n",
       "1        21          14          55       B6          116            0  \n",
       "2        25          13          35       WN          491            0  \n",
       "3        52          19          59       UA          538            0  \n",
       "4        21          14          55       B6          116            0  \n",
       "5        52          19          59       UA          538            0  \n",
       "6        21          14          55       B6          116            0  \n",
       "7        25          13          35       WN          491            0  \n",
       "8        52          19          59       UA          538            0  \n",
       "9        21          14          55       B6          116            0  \n",
       "10       25          13          34       WN          491            0  "
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Latter_flight = pd.merge(Second_flights, First_flights, on = ['Origin', 'Date'])\n",
    "Latter_flight['Arr_Status1'] = 0\n",
    "\n",
    "Latter_flight"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Carrier</th>\n",
       "      <th>Origin</th>\n",
       "      <th>Dest</th>\n",
       "      <th>Date_MM</th>\n",
       "      <th>Date_DD</th>\n",
       "      <th>Flight_num</th>\n",
       "      <th>Arr_t_h</th>\n",
       "      <th>Arr_t_m</th>\n",
       "      <th>Depart_t_h</th>\n",
       "      <th>Depart_t_m</th>\n",
       "      <th>...</th>\n",
       "      <th>wind_spd</th>\n",
       "      <th>wind_gust_spd</th>\n",
       "      <th>snow</th>\n",
       "      <th>snow_depth</th>\n",
       "      <th>precip</th>\n",
       "      <th>pres</th>\n",
       "      <th>uv</th>\n",
       "      <th>dewpt</th>\n",
       "      <th>rh</th>\n",
       "      <th>slp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>...</td>\n",
       "      <td>4.20</td>\n",
       "      <td>4.60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>42.56</td>\n",
       "      <td>1,003.50</td>\n",
       "      <td>8.30</td>\n",
       "      <td>3.90</td>\n",
       "      <td>57</td>\n",
       "      <td>1,019.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>...</td>\n",
       "      <td>4.20</td>\n",
       "      <td>4.60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>42.56</td>\n",
       "      <td>1,003.50</td>\n",
       "      <td>8.30</td>\n",
       "      <td>3.90</td>\n",
       "      <td>57</td>\n",
       "      <td>1,019.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>...</td>\n",
       "      <td>4.20</td>\n",
       "      <td>4.60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>42.56</td>\n",
       "      <td>1,003.50</td>\n",
       "      <td>8.30</td>\n",
       "      <td>3.90</td>\n",
       "      <td>57</td>\n",
       "      <td>1,019.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>...</td>\n",
       "      <td>3.40</td>\n",
       "      <td>6.50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25.00</td>\n",
       "      <td>1,007.50</td>\n",
       "      <td>8.40</td>\n",
       "      <td>6.30</td>\n",
       "      <td>78</td>\n",
       "      <td>1,023.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>...</td>\n",
       "      <td>3.40</td>\n",
       "      <td>6.50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25.00</td>\n",
       "      <td>1,007.50</td>\n",
       "      <td>8.40</td>\n",
       "      <td>6.30</td>\n",
       "      <td>78</td>\n",
       "      <td>1,023.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>...</td>\n",
       "      <td>1.90</td>\n",
       "      <td>2.70</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13.19</td>\n",
       "      <td>1,002.80</td>\n",
       "      <td>8.40</td>\n",
       "      <td>9.60</td>\n",
       "      <td>85</td>\n",
       "      <td>1,018.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>...</td>\n",
       "      <td>1.90</td>\n",
       "      <td>2.70</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13.19</td>\n",
       "      <td>1,002.80</td>\n",
       "      <td>8.40</td>\n",
       "      <td>9.60</td>\n",
       "      <td>85</td>\n",
       "      <td>1,018.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>...</td>\n",
       "      <td>1.90</td>\n",
       "      <td>2.70</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13.19</td>\n",
       "      <td>1,002.80</td>\n",
       "      <td>8.40</td>\n",
       "      <td>9.60</td>\n",
       "      <td>85</td>\n",
       "      <td>1,018.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>MQ</td>\n",
       "      <td>ORD</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>...</td>\n",
       "      <td>5.50</td>\n",
       "      <td>10.90</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17.38</td>\n",
       "      <td>999.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>78</td>\n",
       "      <td>1,015.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9E</td>\n",
       "      <td>JFK</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>...</td>\n",
       "      <td>5.50</td>\n",
       "      <td>10.90</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17.38</td>\n",
       "      <td>999.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>78</td>\n",
       "      <td>1,015.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>B6</td>\n",
       "      <td>MCO</td>\n",
       "      <td>SYR</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>34</td>\n",
       "      <td>...</td>\n",
       "      <td>5.50</td>\n",
       "      <td>10.90</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17.38</td>\n",
       "      <td>999.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>78</td>\n",
       "      <td>1,015.40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Carrier Origin Dest  Date_MM  Date_DD  Flight_num  Arr_t_h  Arr_t_m  \\\n",
       "0       MQ    ORD  SYR        4       19        3402       22       52   \n",
       "1       9E    JFK  SYR        4       19        5340       16       21   \n",
       "2       B6    MCO  SYR        4       19         656       16       25   \n",
       "3       MQ    ORD  SYR        4       20        3402       22       52   \n",
       "4       9E    JFK  SYR        4       20        5340       16       21   \n",
       "5       MQ    ORD  SYR        4       21        3402       22       52   \n",
       "6       9E    JFK  SYR        4       21        5340       16       21   \n",
       "7       B6    MCO  SYR        4       21         656       16       25   \n",
       "8       MQ    ORD  SYR        4       22        3402       22       52   \n",
       "9       9E    JFK  SYR        4       22        5340       16       21   \n",
       "10      B6    MCO  SYR        4       22         656       16       25   \n",
       "\n",
       "    Depart_t_h  Depart_t_m  ... wind_spd  wind_gust_spd  snow  snow_depth  \\\n",
       "0           19          59  ...     4.20           4.60     0           0   \n",
       "1           14          55  ...     4.20           4.60     0           0   \n",
       "2           13          35  ...     4.20           4.60     0           0   \n",
       "3           19          59  ...     3.40           6.50     0           0   \n",
       "4           14          55  ...     3.40           6.50     0           0   \n",
       "5           19          59  ...     1.90           2.70     0           0   \n",
       "6           14          55  ...     1.90           2.70     0           0   \n",
       "7           13          35  ...     1.90           2.70     0           0   \n",
       "8           19          59  ...     5.50          10.90     0           0   \n",
       "9           14          55  ...     5.50          10.90     0           0   \n",
       "10          13          34  ...     5.50          10.90     0           0   \n",
       "\n",
       "    precip     pres   uv  dewpt  rh      slp  \n",
       "0    42.56 1,003.50 8.30   3.90  57 1,019.50  \n",
       "1    42.56 1,003.50 8.30   3.90  57 1,019.50  \n",
       "2    42.56 1,003.50 8.30   3.90  57 1,019.50  \n",
       "3    25.00 1,007.50 8.40   6.30  78 1,023.70  \n",
       "4    25.00 1,007.50 8.40   6.30  78 1,023.70  \n",
       "5    13.19 1,002.80 8.40   9.60  85 1,018.70  \n",
       "6    13.19 1,002.80 8.40   9.60  85 1,018.70  \n",
       "7    13.19 1,002.80 8.40   9.60  85 1,018.70  \n",
       "8    17.38   999.50 8.50   8.50  78 1,015.40  \n",
       "9    17.38   999.50 8.50   8.50  78 1,015.40  \n",
       "10   17.38   999.50 8.50   8.50  78 1,015.40  \n",
       "\n",
       "[11 rows x 28 columns]"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Latter_Flight_weather = pd.merge(Latter_flight, test_weather, left_on='Date', right_on='datetime')\n",
    "Latter_Flight_weather.drop(columns = ['datetime', 'Date'], inplace=True)\n",
    "\n",
    "Latter_Flight_weather"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date_MM</th>\n",
       "      <th>Date_DD</th>\n",
       "      <th>Flight_num</th>\n",
       "      <th>Arr_t_h</th>\n",
       "      <th>Arr_t_m</th>\n",
       "      <th>Depart_t_h</th>\n",
       "      <th>Depart_t_m</th>\n",
       "      <th>Flight_num1</th>\n",
       "      <th>Arr_Status1</th>\n",
       "      <th>clouds</th>\n",
       "      <th>...</th>\n",
       "      <th>uv</th>\n",
       "      <th>dewpt</th>\n",
       "      <th>rh</th>\n",
       "      <th>slp</th>\n",
       "      <th>Carrier_B6</th>\n",
       "      <th>Carrier_MQ</th>\n",
       "      <th>Origin_MCO</th>\n",
       "      <th>Origin_ORD</th>\n",
       "      <th>Carrier1_UA</th>\n",
       "      <th>Carrier1_WN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <td>59</td>\n",
       "      <td>538</td>\n",
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       "      <td>84</td>\n",
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       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>116</td>\n",
       "      <td>0</td>\n",
       "      <td>84</td>\n",
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       "      <td>8.30</td>\n",
       "      <td>3.90</td>\n",
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       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>491</td>\n",
       "      <td>0</td>\n",
       "      <td>84</td>\n",
       "      <td>...</td>\n",
       "      <td>8.30</td>\n",
       "      <td>3.90</td>\n",
       "      <td>57</td>\n",
       "      <td>1,019.50</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>538</td>\n",
       "      <td>0</td>\n",
       "      <td>49</td>\n",
       "      <td>...</td>\n",
       "      <td>8.40</td>\n",
       "      <td>6.30</td>\n",
       "      <td>78</td>\n",
       "      <td>1,023.70</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>116</td>\n",
       "      <td>0</td>\n",
       "      <td>49</td>\n",
       "      <td>...</td>\n",
       "      <td>8.40</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>538</td>\n",
       "      <td>0</td>\n",
       "      <td>90</td>\n",
       "      <td>...</td>\n",
       "      <td>8.40</td>\n",
       "      <td>9.60</td>\n",
       "      <td>85</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>116</td>\n",
       "      <td>0</td>\n",
       "      <td>90</td>\n",
       "      <td>...</td>\n",
       "      <td>8.40</td>\n",
       "      <td>9.60</td>\n",
       "      <td>85</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>491</td>\n",
       "      <td>0</td>\n",
       "      <td>90</td>\n",
       "      <td>...</td>\n",
       "      <td>8.40</td>\n",
       "      <td>9.60</td>\n",
       "      <td>85</td>\n",
       "      <td>1,018.70</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>3402</td>\n",
       "      <td>22</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>59</td>\n",
       "      <td>538</td>\n",
       "      <td>0</td>\n",
       "      <td>72</td>\n",
       "      <td>...</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>78</td>\n",
       "      <td>1,015.40</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>5340</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>116</td>\n",
       "      <td>0</td>\n",
       "      <td>72</td>\n",
       "      <td>...</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>78</td>\n",
       "      <td>1,015.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>656</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>34</td>\n",
       "      <td>491</td>\n",
       "      <td>0</td>\n",
       "      <td>72</td>\n",
       "      <td>...</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>78</td>\n",
       "      <td>1,015.40</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Date_MM  Date_DD  Flight_num  Arr_t_h  Arr_t_m  Depart_t_h  Depart_t_m  \\\n",
       "0         4       19        3402       22       52          19          59   \n",
       "1         4       19        5340       16       21          14          55   \n",
       "2         4       19         656       16       25          13          35   \n",
       "3         4       20        3402       22       52          19          59   \n",
       "4         4       20        5340       16       21          14          55   \n",
       "5         4       21        3402       22       52          19          59   \n",
       "6         4       21        5340       16       21          14          55   \n",
       "7         4       21         656       16       25          13          35   \n",
       "8         4       22        3402       22       52          19          59   \n",
       "9         4       22        5340       16       21          14          55   \n",
       "10        4       22         656       16       25          13          34   \n",
       "\n",
       "    Flight_num1  Arr_Status1  clouds  ...   uv  dewpt  rh      slp  \\\n",
       "0           538            0      84  ... 8.30   3.90  57 1,019.50   \n",
       "1           116            0      84  ... 8.30   3.90  57 1,019.50   \n",
       "2           491            0      84  ... 8.30   3.90  57 1,019.50   \n",
       "3           538            0      49  ... 8.40   6.30  78 1,023.70   \n",
       "4           116            0      49  ... 8.40   6.30  78 1,023.70   \n",
       "5           538            0      90  ... 8.40   9.60  85 1,018.70   \n",
       "6           116            0      90  ... 8.40   9.60  85 1,018.70   \n",
       "7           491            0      90  ... 8.40   9.60  85 1,018.70   \n",
       "8           538            0      72  ... 8.50   8.50  78 1,015.40   \n",
       "9           116            0      72  ... 8.50   8.50  78 1,015.40   \n",
       "10          491            0      72  ... 8.50   8.50  78 1,015.40   \n",
       "\n",
       "    Carrier_B6  Carrier_MQ  Origin_MCO  Origin_ORD  Carrier1_UA  Carrier1_WN  \n",
       "0            0           1           0           1            1            0  \n",
       "1            0           0           0           0            0            0  \n",
       "2            1           0           1           0            0            1  \n",
       "3            0           1           0           1            1            0  \n",
       "4            0           0           0           0            0            0  \n",
       "5            0           1           0           1            1            0  \n",
       "6            0           0           0           0            0            0  \n",
       "7            1           0           1           0            0            1  \n",
       "8            0           1           0           1            1            0  \n",
       "9            0           0           0           0            0            0  \n",
       "10           1           0           1           0            0            1  \n",
       "\n",
       "[11 rows x 30 columns]"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Latter_Flight_weather = pd.get_dummies(Latter_Flight_weather, \n",
    "                                       columns = ['Carrier', 'Origin','Carrier1', 'Dest'], \n",
    "                                       drop_first = True)\n",
    "\n",
    "Latter_Flight_weather"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Predicting final test data of latter flights using pre-trained model - XGBoost classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 1, 1],\n",
       "       [1, 1, 1],\n",
       "       [1, 1, 2],\n",
       "       [2, 2, 2],\n",
       "       [2, 2, 2],\n",
       "       [2, 2, 2],\n",
       "       [1, 1, 1],\n",
       "       [1, 1, 1],\n",
       "       [2, 2, 2],\n",
       "       [0, 0, 0],\n",
       "       [0, 0, 0]])"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Latter_Flight_weather['Arr_Status1'] = 0\n",
    "y2_pred0 = xgb_classifier.predict(Latter_Flight_weather)\n",
    "\n",
    "Latter_Flight_weather['Arr_Status1'] = 1\n",
    "y2_pred1 = xgb_classifier.predict(Latter_Flight_weather)\n",
    "\n",
    "Latter_Flight_weather['Arr_Status1'] = 2\n",
    "y2_pred2 = xgb_classifier.predict(Latter_Flight_weather)\n",
    "\n",
    "y2_pred = np.column_stack((y1_pred0, y1_pred1, y1_pred2))\n",
    "y2_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([['On Time', 'On Time', 'On Time'],\n",
       "       ['On Time', 'On Time', 'On Time'],\n",
       "       ['On Time', 'On Time', 'Late'],\n",
       "       ['Late', 'Late', 'Late'],\n",
       "       ['Late', 'Late', 'Late'],\n",
       "       ['Late', 'Late', 'Late'],\n",
       "       ['On Time', 'On Time', 'On Time'],\n",
       "       ['On Time', 'On Time', 'On Time'],\n",
       "       ['Late', 'Late', 'Late'],\n",
       "       ['Early', 'Early', 'Early'],\n",
       "       ['Early', 'Early', 'Early']], dtype='<U7')"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions = np.vectorize(label_mapping.get)(y2_pred)\n",
    "predictions"
   ]
  }
 ],
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