A Comprehensive Evaluation System for Coaches’ Evaluation Based on Hybrid Learning Algorithm

Pingzhi Lin, Jingwen Zhang, Haohua Wang, Sijia Xiao
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Abstract

This article uses entropy value method to determine 5 important quotas’weights by questionnaire surveys. We use Linear Interpolation and Consecutive Scoring method, as well as Multi-index Comprehensive Evaluation, to calculate the comprehensive evaluation scores of coaches. Besides, we make a hypothesis test with null hypothesis and alternative hypothesis to verify that our model is available to coaches with different kinds of sports, different genders and different time line horizon. In addition, we propose an empirical analysis of 10 coaches of basketball, football and baseball respectively, for reference.
基于混合学习算法的教练员评价综合评价系统
本文采用问卷调查的方法,运用熵值法确定了5个重要指标的权重。采用线性插值法和连续计分法,采用多指标综合评价法计算教练员综合评价分数。此外,我们用零假设和备择假设进行假设检验,验证我们的模型适用于不同运动种类、不同性别、不同时间线水平的教练员。此外,本文还分别对10名篮球、足球和棒球教练员进行了实证分析,以供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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