Genetic Programming Based Ensemble System for Microarray Data Classification

Table 3

Experimental results for binary datasets.

Datasets	GPES	DT	Random Forest	Rotation Forest	GA-ESP
Ovarian
Accuracy	0.997 ± 0.003	0.984 ± 0.000	0.988 ± 0.006	0.997 ± 0.003	0.997 ± 0.003
AUC	0.992 ± 0.004	0.987 ± 0.000	0.990 ± 0.000	0.992 ± 0.004	0.992 ± 0.004
Leukemia
Accuracy	0.961 ± 0.013	0.863 ± 0.000	0.944 ± 0.016	0.934 ± 0.020	0.944 ± 0.012
AUC	0.972 ± 0.012	0.829 ± 0.000	0.942 ± 0.006	0.945 ± 0.017	0.935 ± 0.010
Colon
Accuracy	0.810 ± 0.024	0.743 ± 0.000	0.804 ± 0.030	0.820 ± 0.025	0.830 ± 0.026
AUC	0.805 ± 0.017	0.756 ± 0.000	0.795 ± 0.024	0.796 ± 0.022	0.805 ± 0.013
Lung
Accuracy	0.992 ± 0.004	0.967 ± 0.000	0.985 ± 0.005	0.990 ± 0.005	0.980 ± 0.009
AUC	0.988 ± 0.003	0.927 ± 0.000	0.980 ± 0.003	0.986 ± 0.004	0.963 ± 0.007
Prostate
Accuracy	0.902 ± 0.014	0.889 ± 0.000	0.889 ± 0.017	0.912 ± 0.020	0.890 ± 0.018
AUC	0.889 ± 0.010	0.831 ± 0.000	0.862 ± 0.011	0.891 ± 0.013	0.885 ± 0.015
Average
Accuracy	0.932 ± 0.011	0.889 ± 0.000	0.837 ± 0.020	0.930 ± 0.015	0.928 ± 0.014
AUC	0.929 ± 0.009	0.866 ± 0.000	0.914 ± 0.009	0.922 ± 0.012	0.905 ± 0.010