Table 5.
Normalized Confusion Matrices for ML Classifiers with Experiment C.
| ML Algorithms | Default Hyperparameters |
HPO- Grid Search Algorithm |
HPO-Evolutionary GA |
|||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TP | TN | FP | FN | TP | TN | FP | FN | TP | TN | FP | FN | |
| DTC | 0.98 | 0.022 | 0.15 | 0.85 | 0.99 | 0.014 | 0.049 | 0.95 | 0.98 | 0.02 | 0.068 | 0.93 |
| RFC | 0.97 | 0.027 | 0.12 | 0.88 | 0.99 | 0.012 | 0.018 | 0.98 | 0.98 | 0.016 | 0.03 | 0.97 |
| LR | 0.98 | 0.017 | 0.043 | 0.96 | 0.98 | 0.015 | 0.033 | 0.97 | 0.99 | 0.0098 | 0.0099 | 0.99 |
| KNN | 0.96 | 0.037 | 0.22 | 0.78 | 1.0 | 0.002 | 0.0 | 1.0 | 1.0 | 0.0018 | 0.0 | 1.0 |
| GBC | 0.97 | 0.031 | 0.17 | 0.83 | 0.98 | 0.018 | 0.04 | 0.96 | 0.98 | 0.02 | 0.054 | 0.95 |
| AdB | 0.98 | 0.023 | 0.085 | 0.92 | 0.98 | 0.018 | 0.04 | 0.96 | 0.98 | 0.023 | 0.085 | 0.92 |
| XGB | 0.97 | 0.035 | 0.18 | 0.82 | 0.98 | 0.022 | 0.07 | 0.93 | 0.98 | 0.023 | 0.08 | 0.92 |
| MLP | 0.98 | 0.019 | 0.051 | 0.95 | 0.98 | 0.018 | 0.037 | 0.96 | 0.96 | 0.039 | 0.21 | 0.79 |