Class Probability, Imbalanced Data, Data Science, Knime, Theory.
data. A drawback of this technique is that it loses information and potentially discards useful and important data for the learning process. Oversampling. Exact copies of events representing the minority class are replicated in the training dataset. However, multiple instances of certain rows can