Who will dropout from university? Academic risk prediction based on interpretable machine learning

no code implementations • 2 Dec 2021 • Shudong Yang

In the institutional research mode, in order to explore which characteristics are the best indicators for predicting academic risk from the student behavior data sets that have high-dimensional, unbalanced classified small sample, it transforms the academic risk prediction of college students into a binary classification task.

BIG-bench Machine Learning Binary Classification +1

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

no code implementations • 24 Nov 2021 • Shudong Yang, Miaomiao Liu

University evaluation and ranking is an extremely complex activity.

BIG-bench Machine Learning Interpretable Machine Learning