BMC Medical Informatics and Decision Making

Table 7 Performance of data mining models using 10-fold

From: Presenting a prediction model for HELLP syndrome through data mining

Classifier	Accuracy	Precision	Sensitivity	Specificity	F1-score	AUC
DL	0.993	0.987	1	0.986	0.993	1
MLP	0.988	0.979	0.997	0.979	0.988	1
DT	0.720	0.646	0.978	0.463	0.777	0.725
SVM	0.908	0.888	0.933	0.884	0.909	0.971
KNN	0.973	0.950	1	0.946	0.974	0.991
RF	0.959	0.951	0.965	0.953	0.957	0.992
Adaboost	0.992	0.989	0.994	0.989	0.991	1
xgboost	0.969	0.988	0.970	0.965	0.979	0.992
LR	0.960	0.975	0.970	0.933	0.973	0.989

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