Research Article
A Novel Weighted Support Vector Machine Based on Particle Swarm Optimization for Gene Selection and Tumor Classification
Table 5
Classification accuracy of our method with other methods from literature (under LOOCV).
| (Authors, year) | Method | Leukemia | Colon | Acc (%) | S. G. | Acc (%) | S. G. |
| (Mohamad et al., 2007) [25] | IG + NewGASVM | 94.71 | 20.00 | N. C. | N. C. | (El Akadi et al., 2011) [17] | mRMR-GA | 100 | 15.00 | 85.48 | 15.00 | (Abdi et al., 2012) [18] | mRMR-PSO-WSVM | 100 | 3.8 | 93.55 | 6.2 |
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*S. G. and N. C. denote selected genes and not considered, respectively.
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