Confusion matrix
allows visualization of the performance of the model
True Positives (TP)
actual positives correctly predicted as positive
True Negatives (TN)
actual negatives correctly predicted as negative
False Positives (FP)
negatives incorrectly predicted as positive
False Negative (FN)
positives incorrectly predicted as negative
Accuracy
(TP + TN) / Total
Error Rate
(FP + FN) / Total