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Table 5 Comparative performance with gene selection, Group I

From: Random KNN feature selection - a fast and stable alternative to Random Forests

Dataset p* c/n Mean Accuracy Standard Deviation Coefficient of Variation
   RF R1NN R3NN RF R1NN R3NN RF R1NN R3NN
Ramaswamy 1267 0.577 0.726 0.704 0.019 0.013 0.013 3.231 1.775 1.796
Staunton 859 0.561 0.692 0.663 0.042 0.026 0.031 7.485 3.802 4.669
Nutt 829 0.671 0.903 0.834 0.051 0.030 0.031 7.619 3.268 3.674
Su 792 0.862 0.901 0.888 0.016 0.015 0.014 1.884 1.624 1.567
NCI 688 0.813 0.854 0.836 0.033 0.027 0.023 4.083 3.135 2.796
Brain 666 0.969 0.958 0.940 0.025 0.013 0.018 2.574 1.323 1.875
Armstrong 468 0.936 0.993 0.980 0.020 0.009 0.013 2.166 0.938 1.345
Pomeroy 329 0.858 0.933 0.863 0.025 0.016 0.017 2.892 1.762 1.991
Bhattacharjee 310 0.934 0.956 0.954 0.015 0.006 0.006 1.572 0.620 0.618
Adenocarcinoma 260 0.942 0.939 0.859 0.018 0.017 0.032 1.948 1.808 3.675
Golub 222 0.943 0.986 0.986 0.022 0.003 0.004 2.328 0.289 0.369
Singh 206 0.889 0.952 0.931 0.024 0.014 0.018 2.718 1.427 1.920
Average   0.830 0.899 0.870 0.026 0.016 0.018 3.375 1.814 2.191