Mining Meta-indicators of University Ranking: A Machine Learning Approach Based on SHAP

• URL: http://arxiv.org/abs/2111.12526v1
• Date: Wed, 24 Nov 2021 14:49:19 GMT
• Title: Mining Meta-indicators of University Ranking: A Machine Learning Approach Based on SHAP
• Authors: Shudong Yang (1), Miaomiao Liu (1) ((1) Dalian University of Technology)
• Abstract summary: This research discovered three meta-indicators based on interpretable machine learning. The first one is time, to be friends with time, and believe in the power of time, and accumulate historical deposits; the second one is space, to be friends with city, and grow together by co-develop.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: University evaluation and ranking is an extremely complex activity. Major universities are struggling because of increasingly complex indicator systems of world university rankings. So can we find the meta-indicators of the index system by simplifying the complexity? This research discovered three meta-indicators based on interpretable machine learning. The first one is time, to be friends with time, and believe in the power of time, and accumulate historical deposits; the second one is space, to be friends with city, and grow together by co-develop; the third one is relationships, to be friends with alumni, and strive for more alumni donations without ceiling.

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