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youden-jstatistic

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mewto

alexandrumonahov / mewto

mewto is an R package that allows you to experiment with different thresholds for classification of prediction results in the case of binary classification problems and visualize various model evaluation metrics, confusion matrices and the ROC curve. It also allows you to calculate the optimal threshold based on a weighted evaluation criterion.

visualization machine-learning r regression threshold weighting classification confusion-matrix roc roc-curve pr-curve youden-jstatistic model-evaluation-metrics

Updated Mar 18, 2021
R

PriyankaSett / Identifying_gamma_hadron_magic_dataset

Identifying rare event.

pr pandas seaborn curve auc matplotlib roc gradient-boosting random-forest-classifier gmeans gridsearchcv randomoversampler xgboost-classifier smotetomek adaboostclassifier youden-jstatistic prcurve threshold-tuning

Updated Mar 29, 2023
Jupyter Notebook

ClimerLab / sync-greedy

A greedy algorithm to find the combination of features that maximized the Younden J statistic.

cpp greedy-algorithms discrete-optimization youden-jstatistic

Updated Jan 31, 2024
C++

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