Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm

<table class="table-group" id="tab9"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Method</td><td class="align_center">Sensitivity</td><td class="align_center">Specificity</td><td class="align_center">Accuracy</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Jaya [<a href="/journals/complexity/2018/3198184/#B33" target="_blank">10</a>]</td><td class="align_center">92.72 ± 2.74</td><td class="align_center">92.98 ± 1.42</td><td class="align_center">92.85 ± 1.50</td></tr><tr><td class="align_left">TSE-Jaya (ours)</td><td class="align_center">93.60 ± 1.55</td><td class="align_center">93.72 ± 1.42</td><td class="align_center">93.66 ± 1.23</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Plain Jaya algorithm versus the proposed TSE-Jaya.

Complexity

tab9

Table 9

Table 9: Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm 