Skip to main content

Table 2 Prediction performance (F1-score and accuracy) of the different machine learning models over 50 iterations

From: Serum biomarker-based osteoporosis risk prediction and the systemic effects of Trifolium pratense ethanolic extract in a postmenopausal model

Models F1-Score Accuracy
Average Standard Deviation Average Standard Deviation
XGBoost 90.54% 7.21% 86.00% 8.67%
Random Forest 89.15% 7.80% 83.00% 10.76%
Support Vector Machine 85.20% 7.41% 77.47% 12.07%
Artificial Neural Network 83.39% 9.47% 78.13% 10.75%
Decision Tree 83.35% 9.29% 78.40% 10.55%