Table 3.
Normalized Confusion Matrices for ML Classifiers with Experiment B.
| ML Algorithms | Default Hyperparameters |
HPO- Grid Search Algorithm |
HPO-Evolutionary GA |
|||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TP | TN | FP | FN | TP | TN | FP | FN | TP | TN | FP | FN | |
| DTC | 0.93 | 0.075 | 0.5 | 0.5 | 0.99 | 0.014 | 0.093 | 0.91 | 0.97 | 0.029 | 0.2 | 0.8 |
| RFC | 0.99 | 0.0087 | 0.024 | 0.98 | 1.0 | 0.0038 | 0.016 | 0.98 | 0.99 | 0.002 | 0.017 | 0.98 |
| LR | 0.93 | 0.07 | 0.43 | 0.57 | 1.0 | 0.0 | 0.0 | 1.0 | 0.97 | 0.031 | 0.16 | 0.84 |
| KNN | 0.96 | 0.044 | 0.25 | 0.75 | 1.0 | 0.0025 | 0.0081 | 0.99 | 1.0 | 0.0028 | 0.0091 | 0.99 |
| GBC | 0.95 | 0.05 | 0.27 | 0.73 | 0.98 | 0.017 | 0.087 | 0.91 | 0.99 | 0.009 | 0.046 | 0.95 |
| AdB | 0.93 | 0.067 | 0.4 | 0.6 | 0.98 | 0.018 | 0.073 | 0.93 | 0.99 | 0.013 | 0.057 | 0.94 |
| XGB | 0.95 | 0.049 | 0.27 | 0.73 | 0.98 | 0.016 | 0.072 | 0.93 | 0.98 | 0.016 | 0.062 | 0.94 |
| MLP | 0.94 | 0.062 | 0.35 | 0.65 | 0.97 | 0.26 | 0.84 | 0.92 | 0.91 | 0.085 | 0.51 | 0.49 |