Table 6 Results of the choosing the ML model.
From: Machine learning-based obesity classification considering 3D body scanner measurements
Rank | Classifier | Accuracy | Recall | Precision | F1 score |
|---|---|---|---|---|---|
1 | Random Forest | 0.725 | 0.661 | 0.780 | 0.692 |
2 | GradientBoosting | 0.700 | 0.599 | 0.655 | 0.609 |
3 | Logistic | 0.500 | 0.515 | 0.443 | 0.462 |
4 | SVM | 0.650 | 0.477 | 0.383 | 0.412 |
5 | DecisionTree | 0.475 | 0.484 | 0.478 | 0.465 |
6 | AdaBoost | 0.425 | 0.358 | 0.431 | 0.356 |
