Fig. 2From: Importance of medical data preprocessing in predictive modeling and risk factor discovery for the frailty syndromeFeature Selection Process. This figure shows the overall feature selection process. At first, the Boruta algorithm is applied on each imputed data set. Then, the 5 different selected feature sets are compared and features which appear in 3 or more selected sets are chosen for the final feature setBack to article page