Man pages for npcs
Neyman-Pearson Classification via Cost-Sensitive Learning
| cv.npcs | Compare the performance of the NPMC-CX, NPMC-ER, and vanilla... |
| error_rate | Calculate the error rates for each class. |
| gamma_smote | Gamma-synthetic minority over-sampling technique... |
| generate_data | Generate the data. |
| npcs | Fit a multi-class Neyman-Pearson classifier with error... |
| predict.npcs | Predict new labels from new data based on the fitted NPMC... |
| print.cv.npcs | Print the cv.npcs object. |
