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Table 3 AUC values and PSI for each model test set

From: Study on medical dispute prediction model and its clinical-application effectiveness based on machine learning

Model

AUC(95% CI)

PSI

Logistic regression

0.826(0.793–0.865)

0.009

Random forest

0.945(0.913–0.981)

0.056

Decision Tree classifier

0.838(0.801–0.868)

0.175

Gaussian NB

0.846(0.807–0.871)

0.013

Bagging Classifier

0.924(0.903–0.980)

0.067

AdaBoost Classifier

0.925(0.912–0.951)

0.015

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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