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Fig. 2:
Fig. 3:
Fig. 4:
Fig. 5:
Response models and their respective metrics for the classification of health status and location variables_ The column Class includes Health Status (Cancer, Healthy), Quartile (1, 2, 3, 4), Centile (50, 75, 95, and 100%), and BIVA status (11, 12, 13, 14, 21, 22, 23, 31, 32, 33, 41, 42, 43, 44)_
| Response | Model | Accuracy | Class | Precision | Recall | F1-score |
|---|---|---|---|---|---|---|
| Health status | Fine Tree | 92.80% | Cancer | 0.912 | 0.951 | 0.931 |
| Healthy | 0.947 | 0.905 | 0.926 | |||
| BIVA status | Fine Tree | 99.50% | 11 | 1.000 | 1.000 | 1.000 |
| 12 | 1.000 | 1.000 | 1.000 | |||
| 13 | 1.000 | 1.000 | 1.000 | |||
| 14 | 1.000 | 1.000 | 1.000 | |||
| 21 | 1.000 | 1.000 | 1.000 | |||
| 22 | 1.000 | 1.000 | 1.000 | |||
| 23 | 0.857 | 0.750 | 0.800 | |||
| 31 | 1.000 | 1.000 | 1.000 | |||
| 32 | 1.000 | 1.000 | 1.000 | |||
| 33 | 0.889 | 0.941 | 0.914 | |||
| 41 | 1.000 | 1.000 | 1.000 | |||
| 42 | 1.000 | 1.000 | 1.000 | |||
| 43 | 1.000 | 1.000 | 1.000 | |||
| 44 | 1.000 | 1.000 | 1.000 | |||
| Quartile | Linear SVM | 100% | 1 | 1.000 | 1.000 | 1.000 |
| 2 | 1.000 | 0.983 | 0.991 | |||
| 3 | 0.990 | 1.000 | 0.995 | |||
| 4 | 1.000 | 1.000 | 1.000 | |||
| Centile | RUS Boosted Tree | 97% | 50% | 0.988 | 0.984 | 0.986 |
| 75% | 0.959 | 0.953 | 0.956 | |||
| 95% | 0.948 | 0.938 | 0.943 | |||
| 100% | 0.957 | 1.000 | 0.978 |
Accuracy parameters of each model_
| Response | Model | R2 | RMSE | MSE | MAE |
|---|---|---|---|---|---|
| Zc (Ω) | Linear | 1.000 | 0.351(Ω2) | 0.123 (Ω) | 0.233 (Ω) |
| θc (°) | Linear | 0.980 | 0.237 (°2) | 0.056 (°) | 0.166 (°) |
| Xcc (Ω) | Linear SVM | 0.990 | 2.378 (Ω2) | 5.652 (Ω) | 1.674 (Ω) |
| Rc (Ω) | Linear SVM | 1.000 | 4.216 (Ω2) | 17.773 (Ω) | 3.223 (Ω) |