TABLE 8.
Confusion matrix and performance metrics of classification results.
Accuracy (%) | 74.09% | True label |
Precision | F1-score | ROC AUC | |
Lie | Truth | |||||
Predicted label | Lie | 130 | 39 | 0.77 | 0.74 | 0.78 |
Truth | 54 | 136 | 0.72 | 0.75 | 0.78 | |
Recall | 0.71 | 0.78 |
ROC AUC, area under the curve of receiver operating characteristics.