Research Article
Binary Matrix Shuffling Filter for Feature Selection in Neuronal Morphology Classification
Table 4
Classification results with different classification models.
| Feature selection methods | Naïve Bayes (%) | BPNN (%) | SVC (%) | Average (%) |
| All features | 61.35 ± 26.82 | 91.46 ± 1.22 | 97.10 ± 0.43 | 83.30 | SVM-RFE | 30.78 ± 12.94 | 91.38 ± 0.83 | 93.29 ± 1.20 | 71.82 | Rough set | 51.30 ± 3.59 | 92.75 ± 0.46 | 93.05 ± 1.45 | 79.03 | BMSF | 70.53 ± 6.36 | 91.46 ± 1.45 | 97.84 ± 0.57 | 86.61 |
| Average (%) | 50.87 | 91.86 | 94.73 | |
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