Table 10.
Evaluation metrics and their descriptions used in the study.
| Metric | Equation | Feature |
|---|---|---|
| Precision |  |
TPc: Number of true-positives |
| Recall |  |
FPc: Number of false-positives |
| Accuracy |  |
FNc: Number of false-negatives |
| Macro precision |  |
N is the total number of samples |
| Macro recall |  |
Overall performance; can be sensitive to the dominant class in case of class imbalance |
| Macro F1 score |  |
Sensitive to false-positives; equal weighting between classes |
| Mean square error |  |
Sensitive to missed (FN) samples; gives fair results in case of class imbalance |