Table 2.

Results of the classification performance of different models using the training EMG dataset.

Model	Accuracy (ACC)	Sensitivity	Specificity	Precision	Negative Predictive Value	AUC	Gini
Neural Network	0.80	0.71	0.89	0.88	0.74	0.85	0.70
C5.0	0.78	0.78	0.78	0.79	0.76	0.79	0.57
C&R Tree	0.76	0.67	0.86	0.84	0.70	0.77	0.54
Logistic Regression	0.71	0.74	0.67	0.71	0.70	0.75	0.51
SVM	0.68	0.64	0.73	0.72	0.65	0.72	0.45
Discriminant Analysis	0.68	0.67	0.69	0.71	0.66	0.75	0.51