Table 14.
Performance evaluation results based on DBSCAN and SMOTE for Hinselmann.
Method | Precision (%) | Recall/Sensitivity (%) | Specificity (%) | F1 Score (%) | Accuracy (%) |
---|---|---|---|---|---|
SVM | 98.500 | 98.492 | 98.507 | 98.500 | 98.500 |
MLP | 98.759 | 100.00 | 98.760 | 98.759 | 98.759 |
Logistic Regression | 97.796 | 98.994 | 96.568 | 97.766 | 97.766 |
Naïve Bayes | 97.165 | 98.963 | 95.433 | 97.089 | 97.087 |
KNN | 96.905 | 98.440 | 95.433 | 96.847 | 96.844 |
Proposed CCPM (Random Forest) | 99.016 | 100.00 | 97.948 | 98.997 | 98.997 |