The Support Vector Machine algorithm is effective for balanced classification, although it does not perform
The decision tree algorithm is effective for balanced classification, although it does not perform well
Logistic regression does not support imbalanced classification directly. Instead, the training algorithm used to fit
Machine learning techniques often fail or give misleadingly optimistic performance on classification datasets with an
Resampling methods are designed to add or remove examples from the training dataset in order
Resampling methods are designed to change the composition of a training dataset for an imbalanced
Imbalanced classification involves developing predictive models on classification datasets that have a severe class imbalance.
Imbalanced Classification Crash Course. Get on top of imbalanced classification in 7 days. Classification predictive