Table 5. Accuracy of five classification models on nine kinematic attributes selected using the proposed feature selection method.
Classifier | Sensitivity | Specificity | Accuracy |
---|---|---|---|
Naive Bayes | 78.6% | 81.3% | 80.0% |
SVM (RBF) | 78.6% | 87.5% | 83.3% |
SVM (Linear) | 85.7% | 87.5% | 86.7% |
Decision Tree | 57.1% | 75.0% | 66.7% |
Random Forest | 71.4% | 68.8% | 70.0% |
Avg. | 74.3% | 80.0% | 77.3% |