Table 3.

AUC of the imputed data trained models and the equivalent AUC of the complete data along with the corresponding complete data ratio used to build this model

	Imputed data model AUC	Equivalent AUC of complete data models	Ratio of complete data (%)
Naïve Bayes	0.623	0.625	30
MLP	0.672	0.677	80
Decision Tree	0.552	0.55	30
Random Forest	0.67	0.64	80
Log Regression	0.68	0.68	60
SVM	0.58	0.57	70
RBF-SVM	0.59	0.58	70
PUK-SVM	0.55	0.55	80