Class Probability, Imbalanced Data, Data Science, Knime, Theory.
From the point of view of the performance of a classification algorithm, it’s recommended to make the training data balanced. We can do this by resampling the training data. Now, the training of the model works better, but how about applying it to new data, which we suppose to be imbalanced? This