Table 3. Five-fold cross-validation of the performance of the proposed V-CNN model and SVM classifier in classifying colonies on the basis of their morphological, textural, and combined features.
Features | Accuracy | Precision | Recall | F-measure |
---|---|---|---|---|
V-CNN model | ||||
Morphological | 92.4 | 89.9 | 89.1 | 89.6 |
Textures | 90.2 | 85.3 | 85.1 | 85.4 |
Combined | 91.6 | 86.6 | 86.4 | 86.6 |
SVM classifier | ||||
Morphological | 75.2 | 77.2 | 70.4 | 74.7 |
Textures | 77.3 | 75.8 | 77.1 | 77.0 |
Combined | 77.0 | 83.0 | 68.4 | 76.9 |