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

Table 3

EMG signal classification results for AdaBoost.

	Accuracy (%)	F-measure	ROC area	Kappa
ANN	98.33	0.98	0.99	0.98
k-NN	90.50	0.91	0.97	0.86
SVM	97.83	0.98	1.00	0.97
RF	99.08	0.99	1.00	0.99
C4.5	98.88	0.99	1.00	0.98
Random Tree	0.93	0.96	0.95	95.13
REPTree	96.25	0.96	0.98	0.94
LADTree	96.00	0.96	1.00	0.94
NB	89.54	0.89	0.93	0.84