Research Article
Application of the Support Vector Machine to Predict Subclinical Mastitis in Dairy Cattle
Table 1
Results of SVM application.
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Total input variable | Training data | Test data | 1st test result | 2nd test result | 3rd test result | 4th test result | 5th test result | Average | Number of true outputs | Success (%) | Number of true outputs | Success (%) | Number of true outputs | Success (%) | Number of true outputs | Success (%) | Number of true outputs | Success (%) | |
| 346 | 311 | 35 | 30 | 86 | 27 | 77 | 32 | 91 | 24 | 69 | 30 | 86 | 29 | 82 | 260 | 86 | 72 | 84 | 68 | 79 | 78 | 91 | 70 | 81 | 71 | 83 | 72 | 84 | 242 | 104 | 88 | 85 | 86 | 83 | 95 | 91 | 85 | 82 | 87 | 84 | 88 | 85 | 208 | 138 | 116 | 84 | 117 | 85 | 121 | 88 | 118 | 86 | 114 | 83 | 117 | 85 |
| Average | | | | | | | | | | | | | 76 | 84 |
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