Application of Decision Tree in PE Teaching Analysis and Management under the Background of Big Data

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr class="thead"><td class="align_left">Evaluation score</td><td class="align_center">5</td><td class="align_center">4.85</td><td class="align_center">4</td><td class="align_center">3.5</td><td class="align_center">3</td><td class="align_center">2</td></tr><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr><td class="align_left">Corresponding number</td><td class="align_center">4</td><td class="align_center">6</td><td class="align_center">3</td><td class="align_center">3</td><td class="align_center">0</td><td class="align_center">1</td></tr><tr><td class="align_left">Total number</td><td class="align_center">15</td><td class="align_center">Average score: 4.36</td><td class="align_center">Construct validity: 88.35%</td><td class="align_center"> </td><td class="align_center"> </td><td class="align_center"> </td></tr><tr class="table-tr"><td colspan="7"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Evaluation form of content validity of expert consultation questionnaire.</div>

Computational Intelligence and Neuroscience

tab5

Table 5

Table 5: Application of Decision Tree in PE Teaching Analysis and Management under the Background of Big Data 