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R package for dealing with cost-sensitive learning (class imbalance and classification error cost) in a multiclass setting using lasso regularized logistic regression and gradient boosted decision trees.

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kipedene/Kcsboost

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Kcsboost

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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")

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R package for dealing with cost-sensitive learning (class imbalance and classification error cost) in a multiclass setting using lasso regularized logistic regression and gradient boosted decision trees.

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