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

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
| \(Accuracy = \frac {{TP + TN}}{{TP + TN + FP + FN}}\) |