A College Student Behavior Analysis and Management Method Based on Machine Learning Technology

<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">Index</td><td class="align_center">Ranges</td><td class="align_center">Index description</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Dining habits</td><td class="align_center">0-90</td><td class="align_center">The average number of days the student eats regularly per month in the semester</td></tr><tr><td class="align_left">Work and rest</td><td class="align_center">0-30</td><td class="align_center">The average number of days of regular work and rest per month for students in each semester</td></tr><tr><td class="align_left">Internet habits</td><td class="align_center">0-600</td><td class="align_center">Average online time per month per semester by students</td></tr><tr><td class="align_left">Exercise habits</td><td class="align_center">0-60</td><td class="align_center">The average number of student exercises per month per semester</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Student living habit indicators.</div>

Wireless Communications and Mobile Computing

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Table 2

Table 2: A College Student Behavior Analysis and Management Method Based on Machine Learning Technology 