Table 5 Comparison of machine learning algorithms’ performance for gender classification task.
From: The exhaled breath pattern as a potential method for biometrics identification
Model | Accuracy (%) | Precision (%) | Recall (%) | F1 Score (%) |
|---|---|---|---|---|
Logistic Regression | 87.50 | 87.50 | 93.33 | 90.32 |
Random Forest | 45.83 | 58.33 | 46.67 | 51.85 |
LGBMClassifier | 41.67 | 53.85 | 46.67 | 50.00 |
XGBClassifier | 45.83 | 58.33 | 46.67 | 51.85 |
Support Vector Classifier | 75.00 | 71.43 | 100.00 | 83.33 |
