| Evaluation metric . | Equation . |
|---|---|
| Recall | TP/ (TP + FN) |
| Precision | TP/ (TP + FP) |
| F1-score | |$2\times\displaystyle\frac{Precision \times Recall}{Precision + Recall} $| |
| MCC | |$\displaystyle\frac{ TP\times TN-FP\times FN}{\sqrt{(TP+FP)(TP+FN)(TN+FP)(TN+FN)} } $| |
| BACC | (|$\displaystyle\frac{TP}{TP+FN}+\frac{TN}{FP+TN} $|)/2 |
| Evaluation metric . | Equation . |
|---|---|
| Recall | TP/ (TP + FN) |
| Precision | TP/ (TP + FP) |
| F1-score | |$2\times\displaystyle\frac{Precision \times Recall}{Precision + Recall} $| |
| MCC | |$\displaystyle\frac{ TP\times TN-FP\times FN}{\sqrt{(TP+FP)(TP+FN)(TN+FP)(TN+FN)} } $| |
| BACC | (|$\displaystyle\frac{TP}{TP+FN}+\frac{TN}{FP+TN} $|)/2 |
aTP is the number of correctly predicted actives (true positives). TN is the number of correctly predicted inactive (true negatives). FP is the number of incorrectly identified actives (false positives), and FN is the number of incorrectly identified inactive (false negatives).
| Evaluation metric . | Equation . |
|---|---|
| Recall | TP/ (TP + FN) |
| Precision | TP/ (TP + FP) |
| F1-score | |$2\times\displaystyle\frac{Precision \times Recall}{Precision + Recall} $| |
| MCC | |$\displaystyle\frac{ TP\times TN-FP\times FN}{\sqrt{(TP+FP)(TP+FN)(TN+FP)(TN+FN)} } $| |
| BACC | (|$\displaystyle\frac{TP}{TP+FN}+\frac{TN}{FP+TN} $|)/2 |
| Evaluation metric . | Equation . |
|---|---|
| Recall | TP/ (TP + FN) |
| Precision | TP/ (TP + FP) |
| F1-score | |$2\times\displaystyle\frac{Precision \times Recall}{Precision + Recall} $| |
| MCC | |$\displaystyle\frac{ TP\times TN-FP\times FN}{\sqrt{(TP+FP)(TP+FN)(TN+FP)(TN+FN)} } $| |
| BACC | (|$\displaystyle\frac{TP}{TP+FN}+\frac{TN}{FP+TN} $|)/2 |
aTP is the number of correctly predicted actives (true positives). TN is the number of correctly predicted inactive (true negatives). FP is the number of incorrectly identified actives (false positives), and FN is the number of incorrectly identified inactive (false negatives).
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