: An R package for building entropy-based classification trees on imbalanced datasets.

Krzysztof Gajowniczek Tomasz S. Zabkowski

Published in: SoftwareX (2021)

Keyphrases

classification trees
imbalanced datasets
class distribution
decision trees
training data
class imbalance
probability estimation
logistic regression
training set
test set
naive bayes
ensemble methods
cost sensitive
sampling methods
concept drift
data sets
random forests
pairwise
machine learning
neural network