Neyman-Pearson Classification via Cost-Sensitive Learning


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Documentation for package ‘npcs’ version 0.1.0

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error_rate Calculate the error rates for each class.
gamma_smote Gamma-synthetic minority over-sampling technique (gamma-SMOTE).
generate_data Generate the data.
npcs Fit a multi-class Neyman-Pearson classifier with error controls via cost-sensitive learning.
predict.npcs Predict new labels from new data based on the fitted NPMC classifier.