Table 2.

Performance metrics.

Acronym	Description
Accuracy	The percentage of correctly predicted samples out of the total number of samples.
Precision	The fraction of the samples which are actually positive among all the samples which we predicted positive. $Precision=\frac{N_{TP}}{N_{PP}}$ where, $N_{TP}$ is the number of true positives and $N_{PP}$ is the number of predicted positives.
Recall	Measures the proportion of positives that are correctly identified. $Recall=\frac{N_{TP}}{N_{AP}}$ Where, $N_{TP}$ is the number of true positives and $N_{AP}$ is the actual number of positives.
f1_score	The weighted harmonic means of precision and recall.