Importance-SMOTE: a synthetic minority oversampling method for noisy imbalanced data.

Published in: Soft Comput. (2022)

Keyphrases

imbalanced data
data sets
machine learning
class distribution
training data
classification accuracy
training samples
support vector machine svm
linear regression