Table 13.
Results of models evaluated as low performing in the study.
| Model type | Preset | Accuracy % (Validation) | Accuracy % (Test) | Macro precision % (Validation) | Macro recall % (Validation) | Macro F1 score % (Validation) | Macro precision % (Test) | Macro recall % (Test) | Macro F1 score % (Test) |
|---|---|---|---|---|---|---|---|---|---|
| Tree | Medium Tree | 78.41 | 78.72 | 80.16 | 78.41 | 78.26 | 81.12 | 78.72 | 78.33 |
| Coarse Tree | 49.16 | 49.95 | 52.54 | 49.16 | 48.55 | 51.67 | 49.95 | 48.66 | |
| Naive Bayes | Gaussian Naive Bayes | 38.20 | 38.46 | 42.33 | 38.20 | 34.41 | 42.10 | 38.46 | 34.72 |
| Kernel Naive Bayes | 69.09 | 71.66 | 72.42 | 69.09 | 68.95 | 74.51 | 71.66 | 71.63 | |
| SVM | Linear SVM | 71.59 | 72.01 | 71.60 | 71.59 | 71.52 | 72.07 | 72.01 | 71.96 |
| Coarse Gaussian SVM | 71.16 | 74.05 | 71.13 | 71.16 | 71.13 | 74.01 | 74.05 | 74.02 | |
| Ensemble | Subspace Discriminant | 64.25 | 64.05 | 64.21 | 64.25 | 64.21 | 63.96 | 64.05 | 63.97 |
| Subspace KNN | 68.36 | 73.70 | 68.47 | 68.36 | 68.41 | 73.69 | 73.70 | 73.69 | |
| RUSBoosted Trees | 78.41 | 78.72 | 80.16 | 78.41 | 78.26 | 81.12 | 78.72 | 78.33 |