Accuracy, Machine Learning, Performance, Mathematics, Model.
Rate(FNR): False Negative/Positive True Negative Rate(TNR): True Negative/Negative For better performance, TPR, TNR should be high and FNR, FPR should be low. Suppose we have 100 n points and our model’s confusion matric look like this. Now, TPR = TP/P = 94/100 = 94% TNR = TN/N = 850/900 = 94.4%