precision-recall-curve

Here are 38 public repositories matching this topic...

metriculous-ml / metriculous

Measure and visualize machine learning model performance without the usual boilerplate.

python data-science machine-learning statistics deep-learning regression model-selection classification visual-analysis confusion-matrix roc-curve model-evaluation precision-recall-curve model-comparsion residual-plot

Updated Sep 13, 2024
Python

sharmaroshan / SECOM-Detecting-Defected-Items

Star

Anamoly Detection for Detecting Defected Manufactured Semi-Conductors, as in this case of Classification, the Defected Chips would be very less in comparison to perfect Chips so we have apply either Over-Sampling or Under-Sampling.

machine-learning data-visualization feature-extraction classification outlier-detection sampling-methods precision-recall-curve anamoly-detection

Updated May 20, 2019
Jupyter Notebook

stefmolin / ml-utils

Sponsor

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Machine learning utility functions and classes.

machine-learning pipeline pca confusion-matrix roc-curve residuals elbow-method elbow-plot roc-auc precision-recall-curve precision-recall adjusted-r-squared pr-curve scree-plot

Updated Jan 14, 2023
Python

lotusCN / Precision-Recall-Curve

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Matlab code for computing and visualization: Precision-Recall curve, AUPR, Accuracy etc. for Classification.

matlab classification accuracy precision-recall-curve

Updated Jan 17, 2019
MATLAB

Mr-TalhaIlyas / Evaluation-Metrics-Package-Tensorflow-PyTorch-Keras

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ML/CNN Evaluation Metrics Package

curve confusion-matrix roc-curve precision-recall-curve dice-coefficient precision-recall average-precision f-measure object-detection-metrics classification-accuracy segmentaion-metrics classification-metrics

Updated Aug 3, 2022

Niloth-p / Density-Based-Outlier-Detection

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An implementation of a density based outlier detection method - the Local Outlier Factor Technique, to find frauds in credit card transactions. For detecting both local and global outliers.

performance-metrics density accuracy outlier-detection distancematrix local-outlier-factor mahalanobis-distance k-nearest-neighbors precision-recall-curve local-reachability-density

Updated Aug 8, 2020
Python

DavidRFerreira / InformationRetrieval_EvaluationMetrics

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Script to compute Precision, Recall, AvP and MAP and to plot PR curves in the context of Information Retrieval evaluation.

python search-engine information-retrieval script metrics recall precision evaluation-metrics precision-recall-curve

Updated Feb 11, 2022
Python

hidiryuzuguzel / Machine-Learning-Examples

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pca auto-regressive-model adaboost handwritten-digit-recognition density-estimation gaussian-classifier least-square-regression k-means-clustering linear-svm bayesian-classifier precision-recall-curve sales-prediction

Updated Dec 15, 2019
Jupyter Notebook

adarshsankarrs / Spotify-Data-Analysis---RF-vs-MLP-Study

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The project involves using machine learning techniques, like RandomForestClassifier and MLP, to predict whether a song will be popular or not based on its acoustic features. The input consists of various acoustic and metadata features, while the output is a binary classification.

random-forest mlp roc-curve precision-recall-curve

Updated Dec 23, 2023
Jupyter Notebook

JieniChen / Predicting-Model-on-Vehicle

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This code build up a predicting model use the Machine learning algorithms such as Decision Tree, k-Nearest Neighbors etc. on the Vehicle to predict the departure action

machine-learning machine-learning-algorithms recall precision precision-recall-chart knn-classification desiciontree precision-recall-curve

Updated Sep 10, 2017
Python

nvlinhvn / customer-targeting-for-insurance

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Identify which customer is willing to possess the insurance policy, so we campaign efficiently.

entropy xgboost binary-classification precision-recall-curve imbalanced-classification stacking-ensemble roc-auc-curve ks-distributions

Updated May 24, 2024
Jupyter Notebook

liyijin-data-PM / Applied-Machine-Learning-in-Python-Coursera

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A wide variety of supervised and unsupervised machine learning methods using the scikit-learn library

scikit-learn cross-validation regularization confusion-matrix decision-trees ridge-regression support-vector-machines roc-curve k-nearest-neighbours model-evaluation model-complexity lasso-regression supervised-machine-learning roc-auc gridsearchcv precision-recall-curve

Updated Nov 6, 2019
Jupyter Notebook

Ansu-John / Credit-Card-Fraud-Detection

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Predict fraudulent credit card transactions using TensorFlow, Keras, K Neighbors, Decision Tree, SVM Regression and Logistic Regression classifiers .

tensorflow keras decision-tree-classifier svm-classifier fraud-detection f1-score knearest-neighbor-classifier roc-auc precision-recall-curve logistic-regression-classfiers

Updated Nov 23, 2020
Jupyter Notebook

pankush9096 / kaggle-Credit-Card-Fraud-Detection

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This is an highly imbalanced data with only 1.72% minority and 98.28% majority class, i will be explaining Up and down sampling and effect of sampling before and while doing cross validation. Model has been evaluated using precision recall curve.

python machine-learning deep-learning pipeline imbalanced-data precision-recall-curve anamoly-detection