A greedy algorithm to find the combination of features that maximized the Younden J statistic.
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Updated
Jan 31, 2024 - C++
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youden-jstatistic
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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
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Updated
Mar 18, 2021 - R
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
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Updated
Mar 29, 2023 - Jupyter Notebook
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