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Fig. 6 | BMC Medical Informatics and Decision Making

Fig. 6

From: Identification of clinical factors related to prediction of alcohol use disorder from electronic health records using feature selection methods

Fig. 6

Result precision-recall curve (PRC) of random forest (RF), support vector machines (SVM), and k-nearest neighbors (KNN) based on selected features using base feature selection methods including Chi-square, Fisher-score, mutual information, recursive feature elimination (RFE), and forward greedy search (FGS), and based on selected features using ensemble feature selection methods including union filter feature selection (UFFS), intersection filter feature selection (IFFS), union feature selection (UFS), and intersection feature selection (IFS), as well as baseline model

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