📊 Statistical analyzers to provide more robust comparisons between Machine Learning techniques.
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Updated
Oct 22, 2024 - Python
📊 Statistical analyzers to provide more robust comparisons between Machine Learning techniques.
This repository provides a practical implementation of the Friedman and Nemenyi statistical tests specifically tailored for multi-label classification problems. These techniques are essential for evaluating and comparing the performance of multiple algorithms in experiments where each instance may belong to several classes simultaneously.
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