From: A new approach to enhance the performance of decision tree for classifying gene expression data
Method | GE1 | GE2 | GE3 | GE4 | GE5 | GE6 | GE7 |
---|---|---|---|---|---|---|---|
BVROC-Tree | 66.85 ± 3.26 | 84.16 ± 0.02 | 98.9 ± 0.90 | 52.38 ± 15.06 | 89.95 ± 3.31 | 97.57 ± 1.33 | 77.97 ± 0.03 |
ROC-Tree | 64.13 ± 4.53 | 86.26 ± 0.05 | 98.34 ± 0.89 | 38.10 ± 5.95 | 88.24 ± 2.33 | 94.44 ± 2.96 | 52.63 ± 0.07 |
AUCsplit | 56.96 ± 0.09 | 81.93 ± 0.02 | 96.14 ± 1.36 | 34.01 ± 2.87 | 82.47 ± 3.96 | 81.61 ± 3.28 | 50.53 ± 0.07 |
C4.5 | 53.48 ± 5.67 | 78.04 ± 1.83 | 93.21 ± 1.07 | 41.7 ± 4.74 | 79.42 ± 5.45 | 84.39 ± 2.01 | 39.00 ± 5.48 |
ADTree | 55.22 ± 5.87 | 89.89 ± 2.80 | 95.14 ± 2.17 | 43.10 ± 4.80 | 86.76 ± 2.63 | 88.82 ± 5.06 | 49.00 ± 4.18 |
REPTree | 58.26 ± 2.83 | 78.64 ± 2.99 | 95.01 ± 1.79 | 44.23 ± 5.18 | 80.88 ± 3.33 | 87.64 ± 4.49 | 57.00 ± 13.51 |
Random Tree | 51.74 ± 1.82 | 65.53 ± 3.24 | 92.03 ± 5.62 | 46.40 ± 6.74 | 62.50 ± 5.23 | 81.64 ± 11.47 | 47.00 ± 16.43 |
Random Forest | 48.6 ± 4.85 | 81.45 ± 4.62 | 92.98 ± 5.36 | 47.52 ± 7.19 | 80.88 ± 2.56 | 82.13 ± 10.33 | 43.00 ± 10.37 |
Naïve Bayes | 50.60 ± 5.82 | 88.60 ± 2.26 | 93.85 ± 5.27 | 46.15 ± 7.44 | 55.88 ± 4.76 | 84.85 ± 11.26 | 62.00 ± 4.47 |
k-NN | 47.10 ± 5.31 | 86.80 ± 2.29 | 93.73 ± 4.88 | 48.23 ± 8.61 | 78.68 ± 4.78 | 84.68 ± 10.42 | 44.00 ± 4.18 |