What are the true positive rate (TPR), true negative rate (TNR), false positive rate (FPR), and false negative rate (FNR)?

TPR refers to the ratio of correctly classified positives to the total number of positive instances in the data.

$TPR = \frac{TP}{(TP+FN)}$

TNR refers to the ratio of correctly classified negatives to the total number of negative instances in the data.

$TNR = \frac{TN}{(TN+FP)}$

FPR refers to the ratio of negatives in the data which are incorrectly classified as positives to the total number of negative instances in the data.

$FPR = \frac{FP}{(TN+FP)}$

FNR refers to the ratio of positive instances in the data which are incorrectly classified as negatives to the total number of positive instances in the data.

$FNR = \frac{FN}{(TP+FN)}$