Research Article
Binary Matrix Shuffling Filter for Feature Selection in Neuronal Morphology Classification
Table 5
Breakdown of independent tests results of different models (%).
| Classifier | FS method | Pyramidal | Motoneuron | Sensory | Tripolar | Bipolar | Multipolar | Purkinje |
| NB | All | 30.96 ± 1.96 | 18.24 ± 3.12 | 41.62 ± 5.47 | 61.26 ± 7.90 | 94.16 ± 4.74 | 98.34 ± 3.71 | 96.00 ± 8.94 | SVM-RFE | 29.22 ± 16.4 | 22.31 ± 3.26 | 29.80 ± 60.5 | 56.25 ± 9.66 | 92.50 ± 6.18 | 88.33 ± 21.73 | 96.0 ± 8.94 | Rough set | 52.38 ± 4.48 | 22.32 ± 3.08 | 39.20 ± 3.95 | 97.5 ± 2.7 | 94.16 ± 6.98 | 85.0 ± 10.87 | 96.0 ± 8.94 | BMSF | 77.26 ± 7.67 | 25.38 ± 3.73 | 38.93 ± 4.63 | 60.83 ± 4.0 | 90.83 ± 5.43 | 51.67 ± 21.57 | 92.0 ± 17.89 |
| BPNN | All | 99.10 ± 0.75 | 82.46 ± 9.78 | 57.84 ± 19.64 | 42.94 ± 11.76 | 0.00 ± 0.00 | 0.00 ± 0.00 | 52.00 ± 48.17 | SVM-RFE | 99.12 ± 0.36 | 83.22 ± 18.44 | 45.24 ± 23.59 | 62.50 ± 9.64 | 15.84 ± 35.42 | 0.00 ± 0.00 | 80.0 ± 34.61 | Rough set | 99.08 ± 0.36 | 78.92 ± 4.37 | 71.80 ± 3.09 | 57.06 ± 12.1 | 0.00 ± 0.00 | 0.00 ± 0.00 | 76.0 ± 8.94 | BMSF | 98.42 ± 1.08 | 72.00 ± 6.01 | 66.16 ± 16.64 | 60.0 ± 18.47 | 14.16 ± 31.67 | 0.00 ± 0.00 | 76.0 ± 43.36 |
| SVC | All | 99.56 ± 0.18 | 82.46 ± 6.95 | 93.69 ± 5.23 | 87.50 ± 6.07 | 97.5 ± 2.28 | 18.33 ± 17.07 | 96.0 ± 8.94 | SVM-RFE | 99.55 ± 0.13 | 65.38 ± 4.58 | 69.66 ± 15.64 | 69.58 ± 7.00 | 72.5 ± 31.26 | 0.00 ± 0.00 | 88.0 ± 17.89 | Rough set | 99.52 ± 0.11 | 77.54 ± 5.58 | 54.23 ± 15.09 | 67.08 ± 7.71 | 89.17 ± 5.59 | 0.00 ± 0.00 | 92.0 ± 10.95 | BMSF | 99.63 ± 0.14 | 92.46 ± 4.9 | 95.84 ± 1.10 | 83.33 ± 7.37 | 99.17 ± 1.86 | 1.67 ± 3.73 | 92.0 ± 17.89 |
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