From: Instance-based concept learning from multiclass DNA microarray data
 |  | 1-NN | 3-NN | 5-NN | SVM | DT | MLP |
---|---|---|---|---|---|---|---|
NCI60 | k-NN | 0 | 1.30 ± 0.09 | - | 1.40 ± 0.16 | 2.0 ± 0.21 | 1.60 ± 0.16 |
 | 1-NN | - | 1.30 ± 0.09 | - | 1.40 ± 0.16 | 2.0 ± 0.21 | 1.60 ± 0.16 |
 | 3-NN | - | - | - | 2.30 ± 0.16 | 1.30 ± 0.22 | 1.10 ± 0.15 |
 | SVM | - | - | - | - | 2.60 ± 0.23 | 2.60 ± 0.21 |
 | DT | - | - | - | - | - | 1.80 ± 0.21 |
ALL | k-NN | 2.60 ± 0.05 | 0.90 ± 0.02 | 0.90 ± 0.02 | 2.90 ± 0.06 | 10.10 ± 0.06 | 8.80 ± 0.08 |
 | 1-NN | - | 2.90 ± 0.05 | 2.90 ± 0.05 | 1.50 ± 0.03 | 9.10 ± 0.03 | 7.80 ± 0.10 |
 | 3-NN | - | - | 0 | 3.20 ± 0.06 | 10.0 ± 0.06 | 8.70 ± 0.08 |
 | 5-NN | - | - | - | 3.20 ± 0.06 | 10.0 ± 0.06 | 8.70 ± 0.08 |
 | SVM | - | - | - | - | 9.80 ± 0.02 | 8.30 ± 0.09 |
 | DT | - | - | - | - | - | 5.30 ± 0.10 |
GCM | k-NN | 0.40 ± 0.02 | 2.20 ± 0.07 | 2.20 ± 0.07 | 2.10 ± 0.08 | 4.60 ± 0.05 | 9.30 ± 0.09 |
 | 1-NN | - | 2.20 ± 0.06 | 2.20 ± 0.06 | 2.10 ± 0.08 | 4.80 ± 0.06 | 9.50 ± 0.09 |
 | 3-NN | - | - | 0.00 | 2.90 ± 0.09 | 3.80 ± 0.09 | 7.90 ± 0.09 |
 | 5-NN | - | - | - | 2.90 ± 0.09 | 3.80 ± 0.09 | 7.90 ± 0.09 |
 | SVM | - | - | - | - | 5.70 ± 0.12 | 10.00 ± 0.13 |
 | DT | - | - | - | - | - | 4.70 ± 0.11 |