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Fig. 2 | BMC Medical Informatics and Decision Making

Fig. 2

From: An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records

Fig. 2

The receiver operating characteristic (ROC) curves and precision-recall (PR) curves of 10 machine learning methods. (LR, Logistic Regression; SVM, Support Vector Machines; KNN, K-Nearest Neighbors; DTC, Decision Trees Classifier; NB, Naive Bayes; MLP, Multi-Layer Perceptron; RF, Random Forest; XGBoost, eXtreme Gradient Boosting; Catboost Categorical Boosting; LightGBM, Light Gradient Boosting Machine)

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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