Research Article
mRMR-ABC: A Hybrid Gene Selection Algorithm for Cancer Classification Using Microarray Gene Expression Profiling
Table 9
Comparison between mRMR-ABC and ABC algorithms classification performance when applied with the SVM classifier for lymphoma dataset.
| | Number of genes | Classification accuracy | | mRMR-ABC | ABC | | Best | Mean | Worst | Best | Mean | Worst |
| | 2 | 86.36% | 86.36% | 86.36% | 86.36% | 86.36% | 86.36% | | 3 | 93.93% | 90.90% | 86.36% | 89.39% | 87.87% | 86.36% | | 4 | 96.96% | 92.42% | 89.39% | 93.93% | 89.39% | 86.36% | | 5 | 100% | 96.96% | 93.93% | 96.96% | 92.42% | 90.90% |
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