An Improved Logistic Regression Method for Assessing the Performance of Track and Field Sports

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">KMO sampling suitability quantity</td><td class="align_center">0.592</td><td class="align_center"> </td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left" rowspan="3">Bartlett sphericity test</td><td class="align_center">The approximate chi-square</td><td class="align_center">952.82</td></tr><tr><td class="align_center">Degrees of freedom</td><td class="align_center">26</td></tr><tr><td class="align_center">Significant</td><td class="align_center">0</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Computational Intelligence and Neuroscience

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Table 2

Table 2: An Improved Logistic Regression Method for Assessing the Performance of Track and Field Sports 