Man pages for molson2/JOUSBoost
Implements Under/Oversampling for Probability Estimation
| adaBoost | AdaBoost Classifier |
| circle_data | Simulate data from the circle model. |
| friedman_data | Simulate data from the Friedman model |
| grid_probs | Function to compute predicted quantiles |
| hello | Hello, World! |
| index_over | Return indices to be used for jittered data in oversampling |
| index_under | Return indices to be used in original data for undersampling |
| jous | Jittering with Over/Under Sampling |
| JOUSBoost | JOUSBoost: A package for probability estimation |
| predict.AdaBoost | Create predictions from AdaBoost fit |
| predict.JOUS | Create predictions |
| print.AdaBoost | Print a summary of adaboost fit. |
| print.JOUS | Print a summary of 'jous' fit. |
| sonar | Dataset of sonar measurements of rocks and mines |
