Fig. 2
From: Evaluating the risk of endometriosis based on patients’ self-assessment questionnaires
Boxplot of the area under the curve (AUC) values for different cross-validation splits after imputation with different methods. The difference between Q1 and Q3 for most cases is less than 0.01; therefore, the model’s training process can be evaluated as stable. There is a much bigger difference between methods of feature selection than between imputation techniques. In each case, the recursive selection was superior compared to Boruta. Experts’ decisions appear to be the least effective method of feature selection