Research Article
Diagnostic Method of Diabetes Based on Support Vector Machine and Tongue Images
Table 2
SVM classification before and after data processing.
| Datasets | Accuracy of cross-validation (%) | Accuracy of training samples (%) | Accuracy of test samples (%) | Running time (s) |
| Raw data | 81.65 | 100.00 | 77.83 | 817.86 | Normalized data | 84.35 | 99.53 | 78.77 | 747.40 | Normalized data with PCA | 83.06 | 99.88 | 79.72 | 465.52 |
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