Figure 1 | Scientific Reports

Figure 1

From: Using machine learning techniques to predict the risk of osteoporosis based on nationwide chronic disease data

Figure 1

Results of nine different algorithms using recursive feature elimination (RFE) procedure for feature selection. Logistic Regression (LR), Support Vector Machine (SVM), Decision Tree Classifier (DT), Extra Trees Classifier (ET), Random Forest Classifier (RF), Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LightGBM), Gradient Boosting Classifier (GBC), and Ada Boost Classifier (ADA).

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