Table 7.
Accuracy of classifiers and the number of genes used in classifiers (in parenthesis) for the independent test set for multi-class expression datasets
| Method | Leuk1 | Lung1 | Leuk2 | SRBCT | Breast | Lung2 | DLBCL | Leuk3 | Cancers | GCM | Aver |
|---|---|---|---|---|---|---|---|---|---|---|---|
| TSG† |
97.06 (6) |
81.25 (20) |
100 (44) |
100 (13) |
86.67 (63) |
95.52 (60) |
93.33 (16) |
91.07 (95) |
79.73 (81) |
67.39 (112) |
89.20 |
| HC-TSP* |
97.06 (4) |
71.88 (4) |
80 (4) |
95 (6) |
66.67 (8) |
83.58 (8) |
83.33 (10) |
77.68 (12) |
74.32 (20) |
52.17 (26) |
78.17 |
| HC-k-TSP* |
97.06 (36) |
78.13 (20) |
100 (24) |
100 (30) |
66.67 (24) |
94.03 (28) |
83.33 (46) |
82.14 (64) |
82.43 (128) |
67.39 (134) |
85.12 |
| DT* | 85.29 (2) |
78.13 (4) |
80 (2) |
75 (3) |
73.33 (4) |
88.06 (5) |
86.67 (5) |
75.89 (16) |
68.92 (10) |
52.17 (18) |
76.35 |
| NB‡* | 85.29 | 81.25 | 100 | 60 | 66.67 | 88.06 | 86.67 | 32.14 | 79.73 | 52.17 | 73.2 |
| k-NN‡* | 67.65 | 75 | 86.67 | 30 | 63.33 | 88.06 | 93.33 | 75.89 | 64.86 | 34.78 | 67.96 |
| PAM* |
97.06 (44) |
78.13 (13) |
93.33 (62) |
95 (285) |
93.33 (4822) |
100 (614) |
90 (3949) |
93.75 (3338) |
87.84 (2008) |
56.52 (1253) |
88.5 |
| 1-vs-1-SVM‡* | 79.41 | 87.5 | 100 | 100 | 83.33 | 97.01 | 100 | 84.82 | 83.78 | 65.22 | 88.11 |
*Results reported in Tan et al. [3]†Results obtained with our method (TSG) ‡: NB, k-NN, 1-vs-1-SVM used entire set of genes in classification. That is, 7129, 7129, 12582, 2308, 9216, 12600, 4026, 12558, 12533, 16063 for the ten data sets respectively.