JOUSBoost-package |
JOUSBoost: A package 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 |
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 |