Table 2.
Performance of the classification models based on multiple-modality features.
| Types of Data | No. of Feature Variables | Mean Accuracy (%) of Cross-Validation | Accuracy (%) of Prediction | ||||
|---|---|---|---|---|---|---|---|
| LSVM | LDA | RF | LSVM | LDA | RF | ||
| MS + Texture | 30 | 84.25 | 88.06 | 75.75 | 86.36 | 83.64 | 80.00 |
| CIELAB + Texture | 27 | 74.83 | 74.13 | 71.92 | 78.18 | 84.55 | 61.62 |
| MS +Texture + CIELAB | 33 | 85.37 | 89.42 | 80.69 | 90.00 | 90.91 | 80.00 |