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Fig. 3 | BMC Medical Informatics and Decision Making

Fig. 3

From: Creating sparser prediction models of treatment outcome in depression: a proof-of-concept study using simultaneous feature selection and hyperparameter tuning

Fig. 3

Number of selected features for the non-permuted models. Across both data sets and all three classifiers, the nested cross-validation pipeline with RFE (lower rows) resulted in sparser models requiring less features than the reference method without RFE (upper rows). LR, logistic regression; RF, random forest classifier; RFE, recursive feature elimination; SVC, support vector classifier

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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