Research Article
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 |
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