Evaluation metric | Formula | Papers | Total |
---|---|---|---|
Recall | \(\frac{TP}{TP+FN}\) | 13 | |
False positive rate (FPR) | \(\frac{FP}{TN+FP}\) | 12 | |
False negative rate (FNR) | \(\frac{FN}{TP+FN}\) | 6 | |
Precision | \(\frac{TP}{TP+FP}\) | 5 | |
Accuracy | \(\frac{TP+TN}{TP+TN+FP+FN}\) | 4 | |
F-score | \(2 \times \frac{precision \times recall}{precision + recall}\) | 2 | |
Matthew’s correlation coefficient (MCC) | \(\frac{TP \times TN - FP \times FN}{\sqrt{(TP+FP)(TP+FN)(TN+FP)(TN+FN)}}\) | [65] | 1 |
Regression metrics | |||
 Root mean squared error (RMSE) | \(\sqrt{MSE}\) | 4 | |
 Mean squared error (MSE) | \(\frac{1}{n}\sum _{i=1}^n(x_i - {\hat{x}}_i)^2\) | 2 | |
 Mean absolute error (MAE) | \(\frac{1}{n}\sum _{i=1}^{n}|x_i - {\hat{x}}_i|\) | 2 | |
 Mean relative error (MRE) | \(\frac{1}{n}\sum _{i=1}^{n}\frac{|x_i - {\hat{x}}_i|}{x_i}\) | 2 |