Table 5.
Comparison of classification accuracy with other methods for DLBCL Harvard.
| Reference (year) | Methodology | Maximum classification accuracy in percentage |
|---|---|---|
| Huang et al. (2012) [17] | iSELF (improved semisupervised local Fisher) discriminant analysis | 94.67 |
| Alonso-González et al. (2012) [18] | Combination of attribute selection and classification algorithm | 100 |
| Dagliyan et al. (2011) [11] | HBE (hyperbox enclosure) method | 96.1 |
| Chuang et al. (2011) [10] | Correlation-based feature selection (CFS) and Taguchi genetic algorithm (TGA) | 100 |
| Chopra et al. (2010) [8] | Based on gene doublets | 98.1 |
| Martinez et al. (2010) [7] | Swarm intelligence feature selection algorithm | 100 |
| This work | PSO | 100 |
| This work | Cuckoo search | 100 |
| This work | SFL | 96 |
| This work | SFLLF | 100 |