Skip to content

Latest commit

 

History

History
15 lines (10 loc) · 603 Bytes

README.md

File metadata and controls

15 lines (10 loc) · 603 Bytes

Kcsboost

R-CMD-check

Overview

CostSensitiveLearning

Cost-sensitive learning to address class imbalance and misclassification cost in a multiclass setting using lasso regularized logistic regression and gradient boosted decision trees.

Install the development version from GitHub :

# install.packages("devtools")
devtools::install_github("KipedeneCoulibaly/Kcsboost")