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Table 2 The calculation formula for the evaluation metric of the binary classification model

From: On the combination of data augmentation method and gated convolution model for building effective and robust intrusion detection

Metric Formula
Precision \(Precision = \frac {{TP}}{{TP + FP}}\)
Recall \(Recall = \frac {{TP}}{{TP + FN}}\)
FPR \(FPR = \frac {{FP}}{{FP + TN}}\)
TNR \(TNR = \frac {{TN}}{{FP + TN}}\)
F1−score \(F{\mathrm {1 - }}score = \frac {{2TP}}{{2TP + FP + FN}}\)
Accuracy \(Accuracy = \frac {{TP + TN}}{{TP + TN + FP + FN}}\)