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Table 2 Comparison of model efficiency and sensitivity

From: Implementation of machine learning algorithms to create diabetic patient re-admission profiles

ModelAUCCAF1PrecisionRecall
kNN0.5750.4990.4890.4820.499
J480.5780.4900.4870.4850.490
SVM0.5470.4750.4210.4830.475
Random Forest0.6020.5290.5090.4990.529
Naïve Bayes0.6400.5660.5240.5190.566