Table 2 Classifier performance comparison.
Model | DogFACS variables num | Test | Train | Positive (test) | Negative | ||||
---|---|---|---|---|---|---|---|---|---|
Accuracy | Precision | Recall | F1 | Precision | Recall | F1 | |||
Decision tree | 39 | 0.71 | 0.71 | 0.68 | 0.69 | 0.68 | 0.70 | 0.73 | 0.71 |
XGBoost | 0.71 | 0.71 | 0.68 | 0.69 | 0.68 | 0.70 | 0.73 | 0.71 | |
Random forest | 0.72 | 0.70 | 0.69 | 0.68 | 0.68 | 0.73 | 0.75 | 0.74 | |
Decision tree/ XGBoost/ Random forest | 11 | 0.66 | 0.66 | 0.62 | 0.68 | 0.65 | 0.67 | 0.67 | 0.67 |