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

Table 2

EMG signal classification results for bagging.

	Accuracy (%)	F-measure	ROC area	Kappa
ANN	83.33	0.83	0.89	0.81
k-NN	91.42	0.914	0.986	0.8712
SVM	98.00	0.980	0.994	0.97
RF	98.92	0.989	1	0.9837
C4.5	98.08	0.981	0.998	0.9712
Random Tree	97.54	0.975	0.997	0.9631
REPTree	97.54	0.975	0.997	0.9631
LADTree	88.33	0.883	0.912	0.825
NB	89.71	0.895	0.968	0.8456