Table 3 Maximum cross-validation accuracy and its corresponding best values of hyperparameters for the five Random Forests 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 % | 76 | 56 | 61 | 88 | 91 |
max_depth | 6 | 8 | 8 | 8 | 10 |
n_estimators | 100 | 30 | 100 | 50 | 30 |