MLL 5-Fold | KNN | SVMs | ||||||
---|---|---|---|---|---|---|---|---|
 | 30 | 60 | 100 | Best Accuracy/#Genes | 30 | 60 | 100 | Best Accuracy/#Genes |
GS2 | 0.937 ± 0.056 | 0.947 ± 0.055 | 0.948 ± 0.053 | 0.949/91 | 0.926 ± 0.058 | 0.941 ± 0.052 | 0.947 ± 0.051 | 0.947/87 |
GS1 | 0.946 ± 0.054 | 0.940 ± 0.057 | 0.942 ± 0.058 | 0.948/29 | 0.932 ± 0.059 | 0.947 ± 0.053 | 0.952 ± 0.050 | 0.952/99 |
Cho's | 0.950 ± 0.048 | 0.954 ± 0.048 | 0.960 ± 0.045 | 0.960/93 | 0.942 ± 0.051 | 0.946 ± 0.050 | 0.955 ± 0.048 | 0.955/89 |
F-test | 0.949 ± 0.050 | 0.950 ± 0.050 | 0.953 ± 0.051 | 0.954/99 | 0.943 ± 0.051 | 0.945 ± 0.053 | 0.948 ± 0.051 | 0.948/100 |
MLL LOO | KNN | SVMs | ||||||
 | 30 | 60 | 100 | Best Accuracy/# Genes | 30 | 60 | 100 | Best Accuracy/# Genes |
GS2 | 0.944 | 0.958 | 0.972 | 0.972/90 | 0.917 | 0.958 | 0.944 | 0.972/91 |
GS1 | 0.958 | 0.944 | 0.958 | 0.972/97 | 0.958 | 0.958 | 0.958 | 0.972/56 |
Cho's | 0.944 | 0.944 | 0.958 | 0.972/23 | 0.944 | 0.931 | 0.944 | 0.958/44 |
F-test | 0.944 | 0.944 | 0.958 | 0.958/65 | 0.944 | 0.931 | 0.944 | 0.958/31 |