Review Article
On Feature Selection and Rule Extraction for High Dimensional Data: A Case of Diffuse Large B-Cell Lymphomas Microarrays Classification
Table 4
Comparison between the proposed method and other algorithms on the DLBCL dataset.
| | Method | Number of
features selected | Classification
rate (%) |
| | Naïve Bayes [26] | 3–8 | 83.76 | | Our method without constrained weight initialization | 10 | 89.61 | | Decision trees [26] | 3–8 | 85.46 | | Our method without constrained weight initialization | 14 | 92.21 | | -NN [26] | 3–8 | 88.60 | | Weighted voting model [27] | 30 | 92.20 | | VizRank [26] | 3–8 | 93.03 | | Our method with constrained weight initialization | 10 | 97.40 | | SVM [26] | 3–8 | 97.85 | | Our method with constrained weight initialization | 14 | 100.00 |
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