BMC Bioinformatics

Table 7 Result of DCSGAN compare to other models

From: Optimizing diabetes classification with a machine learning-based framework

	Binary accuracy	Trinary accuracy	Precision	F1_score	Recall	Auc
DCSGAN	0.9627	0.9931	0.9698	0.9698	0.9698	0.9702
CNN	0.8271	0.8229	0.6981	0.6930	0.6952	0.6930
DNN	0.7357	0.6095	0.7089	0.7078	0.7084	0.7809
SVM	0.8827	0.7978	0.8893	0.9494	0.9176	0.8984
NB	0.8590	0.8321	0.8749	0.8860	0.8794	0.8607
KNN	0.9501	0.8811	0.9312	0.9778	0.9529	0.9407
DT	0.9224	0.8469	0.9222	0.9468	0.9354	0.9225

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ISSN: 1471-2105

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