Table 2.

A list of selected features with rank values using two feature selection techniques for both Kaggle and UCI datasets.

Kaggle dataset				UCI dataset
UVS selected features		IGS selected features		UVS selected features		IGS selected features
Name	Score	Name	Score	Name	Score	Name	Score
T3	6184.89	T3	0.5406	TT4	8290.95	FTI	0.6328
age	1474.32	age	0.4562	FTI	6005.52	TT4	0.4353
TT4	626.66	TT4	0.4285	TSH	2165.33	TSH	0.4314
T3-M	563.17	FTI	0.4218	T3	1958.23	T3	0.4311
On-T	381.73	TSH	0.3418	TSH-M	393.49	T4U	0.4134
TSH-M	232.64	sex	0.1779	On-T	342.71	age	0.3173
TT4-M	232.31	T3-M	0.0542	T4U	278.40	sex	0.1427
QU-HE	204.56	TT4-M	0.0375	T4U-M	254.39	T4U-M	0.0310
psych	148.23	On-T	0.0373	TT4-M	253.87	TSH-M	0.0304
T4U	128.78	psych	0.0202	FTI-M	253.11	On-T	0.0301
T4U-M	92.59	TSH-M	0.0157	TBG-M	252.91	TT4-M	0.0254
sex	92.41	pregnant	0.0148	QU-HE	211.89	QU-HE	0.0186