Comparison of Bagging and Boosting Ensemble Machine Learning Methods for Automated EMG Signal Classification

Table 1

EMG signal classification results for single classifier.

	Accuracy (%)	F-measure	ROC area	Kappa
ANN	98.33	0.983	0.997	0.975
k-NN	91.71	0.917	0.982	0.8756
SVM	97.83	0.978	0.986	0.9675
RF	98.54	0.985	0.999	0.9769
C4.5	96.50	96.5	0.973	0.9475
Random Tree	95.13	0.951	0.963	0.9269
REPTree	96.25	0.962	0.983	0.9437
LADTree	88.67	0.886	0.892	0.83
NB	89.54	0.894	0.96	0.8431