Optimizing diabetes classification with a machine learning-based framework

BMC Bioinformatics

Table 9 Result of GEO dataset

	SVM	NB	DT	NN	CNN	DNN	DCSGAN
GSE76894	0.8157	0.7667	0.7952	0.8524	0.8352	0.8145	0.9079
GSE76895	0.6895	0.7290	0.6600	0.7200	0.8239	0.6881	0.8436
GSE23343	0.5333	0.6500	0.4500	0.4667	0.6424	0.5870	0.9992
GSE161355	0.5429	0.5667	0.7286	0.4524	0.7921	0.4849	0.8844
GSE71416	0.7000	0.7000	0.9000	0.7000	0.9549	0.7000	0.9179
GSE55650	0.6400	0.7900	0.6400	0.7400	0.8705	0.4783	0.9491
GSE55100	0.5400	0.8600	0.7300	0.8200	0.8289	0.5454	0.9799
GSE55098	0.5400	0.8600	0.5400	0.8200	0.8289	0.5454	0.9102
GSE55099	0.5400	0.7700	0.5999	0.7800	0.8583	0.5460	0.8657
GSE15932	0.6714	0.7524	0.6238	0.5429	0.8451	0.5313	0.7500
GSE19420	0.7167	0.7167	0.7389	0.5667	0.8451	0.7143	0.8570
GSE66738	0.5000	0.5999	0.5071	0.5036	0.6239	0.5263	0.9548
GSE25462	0.8000	0.8000	0.8400	0.8400	0.8767	0.6800	0.8999

ISSN: 1471-2105