Research Article
mRMR-ABC: A Hybrid Gene Selection Algorithm for Cancer Classification Using Microarray Gene Expression Profiling
Table 7
Comparison between mRMR-ABC and ABC algorithms classification performance when applied with the SVM classifier for lung dataset.
| | Number of genes | Classification accuracy | | mRMR-ABC | ABC | | Best | Mean | Worst | Best | Mean | Worst |
| | 2 | 96.87% | 95.83% | 93.75% | 88.54% | 87.5% | 84.37% | | 3 | 97.91% | 96.31% | 93.75% | 89.58% | 88.54% | 84.37% | | 4 | 98.95% | 97.91% | 96.87% | 91.66% | 89.58% | 87.5% | | 5 | 98.95% | 97.98% | 96.87% | 92.70% | 90.03% | 88.54% | | 6 | 98.95% | 98.27% | 96.87% | 94.79% | 91.66% | 88.54% | | 7 | 98.95% | 98.53% | 96.87% | 95.83% | 92.18% | 89.58% | | 8 | 100% | 98.95% | 96.87% | 97.91% | 93.75% | 91.66% |
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