Table 6. Classification accuracies for the second scenario (augmented dataset).
Classifier | Accuracy using All features(51) ± STD | Accuracy with feature selection ± STD |
---|---|---|
Linear SVM | 87.0 ± 0.12 % | 92.0 ± 0.18 % |
Random forest | 84.0 ± 0.23 % | 88.0 ± 0.28 % |
Adaboost | 81.0 ± 0.26 % | 87.0 ± 0.29 % |
MLP | 86.0 ± 0.26 % | 91.0 ± 0.14 % |
Linear via SGD | 87.0 ± 0.11 % | 92.0 ± 0.16 % |
Mean | 85.0 % | 90.0 % |