Skip to main content
. 2019 May 24;14(5):e0217388. doi: 10.1371/journal.pone.0217388

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 %