Class Probability, Imbalanced Data, Data Science, Knime, Theory.
be 99% accurate, predicting all instances as negative, though, being useless. Put in terms of our credit card fraud detection dataset, this would mean that the model would tend to classify fraudulent transactions as legitimate transactions. Not good! As a result, overall accuracy is not enough to