Confusion matrices are simple in principle: four numbers that describe the performance of a binary classifier. Yet a full understanding of the behavior and meaning of a confusion matrix is far more subtle than it would appear based on the existence of just four numbers. This is a confusion matrix. Looks simple right? Accuracy The… Continue reading Making sense of confusion matrices: ROC vs PR (precision-recall) and other metrics
Beyond Data Science 