Table 3.
Performance metrics for TX–RX of 20 cm features (632 features per case).
Classifier | Accuracy | Precision | Recall | F-Measure |
---|---|---|---|---|
Naïve Bayes | 71.6102% | 0.740 | 0.716 | 0.691 |
SVM | 80.5085% | 0.838 | 0.805 | 0.812 |
KNN | 83.8983% | 0.750 | 0.581 | 0.655 |
Random Forest | 79.661% | 0.793 | 0.797 | 0.782 |
J48 | 78.3898% | 0.606 | 0.645 | 0.625 |