TABLE 10. The Specific Calculation Results of Different Classification Algorithms.

Classification algorithms		Training accuracy	Training error	Test accuracy	Test error
GA-BP neural network		0.96	0.03	0.85	0.15
BP neural network	nnet()	1.00	0.00	0.63	0.55
	neuralnet()	1.00	0.00	0.47	1.24
	mlp()	0.93	0.07	0.54	0.69
	newff()	0.93	0.07	0.76	0.29
SVM		0.74	0.26	0.53	0.50
Decision tree		0.62	0.63	0.51	0.76
Random forests		0.61	0.55	0.61	0.53
Naïve Bayes		0.85	0.15	0.54	0.78