Class Probability, Imbalanced Data, Data Science, Knime, Theory.
Figure 1 shows the overall process of reading the data, partitioning the data into a training and test set, resampling the data, training a classification model, predicting and correcting the class probabilities, and evaluating the cost reduction. We selected SMOTE as the resampling technique and