Table 2 Maximum cross-validation accuracy and its corresponding best values of C and gamma for the five SVM classifiers (without data augmentation)
From: Classification of facial paralysis based on machine learning techniques
Classifier | #1 Smiling | #2 Closing eyes | #3 Raising eyebrows | #4 Blowing cheeks | #5 Whistling |
|---|---|---|---|---|---|
Accuracy % | 96 | 91 | 84 | 90 | 91 |
C | 107 | 100 | 107 | 108 | 100 |
Gamma | 1 | 10 | 10 | 0.1 | 10 |