Table 15.
Classifier | TP | FP | Prec. | Rec. | F-S | ROC | Sen. | Spec. | Class |
---|---|---|---|---|---|---|---|---|---|
Random Forest | 0.600 | 0.263 | 0.615 | 0.600 | 0.608 | 0.668 | 0.66 | 0.737 | Early |
0.600 | 0.404 | 0.612 | 0.600 | 0.606 | 0.598 | 0.60 | 0.61 | Variable | |
0 | 1.0 | 0 | 0 | 0 | 0.450 | Late | |||
MLP | 0.650 | 0.316 | 0.591 | 0.650 | 0.619 | 0.699 | 0.66 | 0.49 | Early |
0.660 | 0.298 | 0.702 | 0.660 | 0.680 | 0.729 | 0.66 | 0.70 | Variable | |
0 | 0.067 | 0 | 0 | 0 | 0.656 | Late | |||
Naïve Bayes | 0.450 | 0.193 | 0.621 | 0.450 | 0.522 | 0.646 | 0.45 | 0.80 | Early |
0.660 | 0.511 | 0.579 | 0.660 | 0.617 | 0.591 | 0.66 | 0.49 | Variable | |
0 | 0.122 | 0 | 0 | 0 | 0.601 | Late | |||
Simple logistics | 0.525 | 0.263 | 0.583 | 0.525 | 0.553 | 0.659 | 0.58 | 0.73 | Early |
0.660 | 0.532 | 0.569 | 0.660 | 0.611 | 0.602 | 0.66 | 0.46 | Variable | |
0 | 0.033 | 0 | 0 | 0 | 0.368 | Late |
TP: True Positive, FP: False Positive, Prec.: Precision, Rec.: Recall, F-S: F-Score, ROC: Receiver Operator Characteristic, Sen.: Sensitivity, Spec.: Specificity.