Feature Subset Selection with Optimal Adaptive Neuro-Fuzzy Systems for Bioinformatics Gene Expression Classification

Table 2

Result analysis of FSS-OANFIS technique with different measures and datasets.

Class labels	Accuracy	Recall	Specificity	F-score	G-measure
Leukemia dataset
Class 0	83.33	100.00	50.00	88.89	89.44
Class 1	83.33	50.00	100.00	66.67	70.71
Average	83.33	75.00	75.00	77.78	80.08
Prostate dataset
Class 0	80.65	100.00	60.00	84.21	85.28
Class 1	80.65	60.00	100.00	75.00	77.46
Average	80.65	80.00	80.00	79.61	81.37
Stanford dataset
Class 0	73.33	33.33	100.00	50.00	57.74
Class 1	73.33	100.00	33.33	81.82	83.21
Average	73.33	66.67	66.67	65.91	70.47
Colon dataset
Class 0	89.47	92.31	83.33	92.31	92.31
Class 1	89.47	83.33	92.31	83.33	83.33
Average	89.47	87.82	87.82	87.82	87.82