Created
          February 14, 2017 09:11 
        
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    SVM training result
  
        
  
    
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  | Best parameters set: | |
| {'kernel': 'linear', 'C': 1} | |
| Confusion matrix: | |
| Labels: 8531,8539,8567,8568,8599,8715,8760,8773,8777,8778,8808,8816 | |
| [[ 4 0 0 0 0 0 0 0 0 0 0 0] | |
| [ 0 2 0 0 0 0 0 0 0 0 0 0] | |
| [ 0 0 12 0 0 0 0 0 0 0 0 0] | |
| [ 0 0 0 9 0 0 0 0 0 0 0 0] | |
| [ 0 0 0 0 19 0 0 0 0 0 0 0] | |
| [ 0 0 0 0 0 8 0 0 0 0 0 0] | |
| [ 0 0 0 0 0 0 8 0 0 0 0 0] | |
| [ 0 0 0 0 0 0 0 5 0 0 0 0] | |
| [ 0 0 0 0 0 0 0 0 9 0 0 0] | |
| [ 0 0 0 0 0 0 0 0 0 11 0 0] | |
| [ 0 0 0 0 0 0 0 0 0 0 5 0] | |
| [ 0 0 0 0 0 0 0 0 0 0 0 4]] | |
| Classification report: | |
| precision recall f1-score support | |
| 8531 1.00 1.00 1.00 4 | |
| 8539 1.00 1.00 1.00 2 | |
| 8567 1.00 1.00 1.00 12 | |
| 8568 1.00 1.00 1.00 9 | |
| 8599 1.00 1.00 1.00 19 | |
| 8715 1.00 1.00 1.00 8 | |
| 8760 1.00 1.00 1.00 8 | |
| 8773 1.00 1.00 1.00 5 | |
| 8777 1.00 1.00 1.00 9 | |
| 8778 1.00 1.00 1.00 11 | |
| 8808 1.00 1.00 1.00 5 | |
| 8816 1.00 1.00 1.00 4 | |
| avg / total 1.00 1.00 1.00 96 | 
  
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