Table 18.
Results for classification models when trained using the space and environment attributes.
| Model | Accuracy | Precision | Recall | F1 Score |
|---|---|---|---|---|
| SVC | 80.6% | 84.3% | 80.1% | 0.799 |
| KNN | 83.9% | 86.8% | 83.4% | 0.830 |
| AdaBoost | 80.6% | 82.0% | 80.3% | 0.800 |
Results for classification models when trained using the space and environment attributes.
| Model | Accuracy | Precision | Recall | F1 Score |
|---|---|---|---|---|
| SVC | 80.6% | 84.3% | 80.1% | 0.799 |
| KNN | 83.9% | 86.8% | 83.4% | 0.830 |
| AdaBoost | 80.6% | 82.0% | 80.3% | 0.800 |