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. 2020 May 15;20(10):2809. doi: 10.3390/s20102809

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