How to Calculate Precision, Recall, and F-Measure for Imbalanced Classification - MachineLearningMastery.com

Classification accuracy is the total number of correct predictions divided by the total number of predictions made for a dataset. As a performance measure, accuracy is inappropriate for imbalanced classification problems. The main reason is that the overwhelming number of examples from the majority class (or classes) will overwhelm the number of examples in the […]