The Effects of Class Imbalance and Training Data Size on Classifier Learning: An Empirical Study.

Wanwan Zheng Mingzhe Jin

Published in: SN Comput. Sci. (2020)

Keyphrases

training data
learning algorithm
class imbalance
supervised learning
active learning
training process
learning process
support vector machine
decision trees
class distribution
imbalanced data sets
prior knowledge
training set
multi class
input data
feature space
support vector
sampling methods