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

Table 4

EMG signal classification results for MultiBoosting.

	Accuracy (%)	F-measure	ROC area	Kappa
ANN	98.33	0.983	0.988	0.975
k-NN	91.33	0.913	0.976	0.87
SVM	95.88	0.959	0.979	0.9381
RF	98.79	0.988	0.998	0.9819
C4.5	98.83	0.980	0.999	0.999
Random Tree	93.75	0.937	0.953	0.9063
REPTree	98.04	0.980	0.999	0.9706
LADTree	93.92	0.939	0.993	0.9088
NB	89.54	0.894	0.932	0.8431