A Support Vector Machine Based Prediction on Sensitivity to Coal Ash Blast for Different Degrees of Deterioration

Table 1

Performance comparison of different multi-classification forecasting methods.

Multiple classification method	One-to-one	One-to-many	Global optimization
Error rate	34.3	39.1	44.6
Total number of support vectors	32	44	36
Training time	65	78	93
Average sum function budget times	17	23	41