Class Probability, Imbalanced Data, Data Science, Knime, Theory.
make the classifier too specific, causing overfitting issues. SMOTE (Synthetic Minority Oversampling Technique). “Synthetic” rows are generated and added to the minority class. The artificial records are generated based on the similarity of the minority class events in the feature space. Correcting