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Table 2 Performance of machine learning models

From: Supporting the classification of patients in public hospitals in Chile by designing, deploying and validating a system based on natural language processing

Model

ROC AUC (SD)

Logistic regression

0.91 (7.8 e-4)

Support vector machine

0.95 (5.4 e-4)

Random forest

0.96 (5.2 e-4)

Multilayer perceptron

0.95 (5.9 e-4)

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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