Binary Matrix Shuffling Filter for Feature Selection in Neuronal Morphology Classification

<div class="floats-full-page floats-full-page-other"><h2>Table 4</h2><div class="floats-full-page-caption">Classification results with different classification models.</div><div class="floats-full-page-content"><table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr /></td></tr><tr class="thead"><td align="left">Feature selection methods</td><td align="center">Naïve Bayes (%)</td><td align="center">BPNN (%)</td><td align="center">SVC (%)</td><td align="center">Average (%)</td></tr><tr><td class="thead-hr" colspan="5"><hr /></td></tr><tr><td align="left">All features</td><td align="center">61.35 ± 26.82</td><td align="center">91.46 ± 1.22</td><td align="center">97.10 ± 0.43</td><td align="center">83.30</td></tr><tr><td align="left">SVM-RFE</td><td align="center">30.78 ± 12.94</td><td align="center">91.38 ± 0.83</td><td align="center">93.29 ± 1.20</td><td align="center">71.82</td></tr><tr><td align="left">Rough set</td><td align="center">51.30 ± 3.59</td><td align="center">92.75 ± 0.46</td><td align="center">93.05 ± 1.45</td><td align="center">79.03</td></tr><tr><td align="left">BMSF</td><td align="center">70.53 ± 6.36</td><td align="center">91.46 ± 1.45</td><td align="center"><b>97.84 ± 0.57</b></td><td align="center">86.61</td></tr><tr><td align="center" colspan="5"><hr /></td></tr><tr><td align="left">Average (%)</td><td align="center">50.87</td><td align="center">91.86</td><td align="center">94.73</td><td align="center"> </td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr" /></td></tr></table></td></tr></table></div></div>

Table 4 | Binary Matrix Shuffling Filter for Feature Selection in Neuronal Morphology Classification

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Table 4: Binary Matrix Shuffling Filter for Feature Selection in Neuronal Morphology Classification

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Table 4

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