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Table 8 Micro-AUC means (standardized variance) of Rprop + NN classification on gene subsets selected by feature selection algorithms

From: Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data

Dataset

Iso-GA

MDS-GA

GA

Breast

0.807 (0.019)

0.803 (0.133)

0.788 (0.058)

CNS

0.679 (0.166)

0.810 (0.051)

0.732 (0.031)

Colon

0.885 (0.102)

0.828 (0.102)

0.834 (0.087)

Leukemia

0.987 (0.018)

0.977 (0.027)

0.965 (0.075)

Lung

0.958 (0.020)

0.974 (0.024)

0.949 (0.028)

Lymphoma

0.975 (0.033)

0.997 (0.005)

0.997 (0.005)

MLL

0.973 (0.038)

0.936 (0.067)

0.971 (0.049)

SRBCT

0.991 (0.008)

0.997 (0.004)

0.993 (0.013)