This dataset was produced by simulations done in "A General Framework for Interpretable Neural Learning based on Local Information-Theoretic Goal Functions"

DataCite Commons2024-07-02 更新60

Average of external scores (1, 2 & 3).

信用评分卡模型

可解释性机器学习

Credit scorecards are essential tools for banks to assess the creditworthiness of loan applicants. While advanced machine learning models like XGBoost and random forest often outperform traditional lo

NIAID Data Ecosystem30

Risk factors and their Shap values (Early warning system for At-Risk students using SHAP and OULAD with Week-2 time frame)

学生学业预警

可解释性机器学习

These are the risk factors and their SHAP values used in Early warning using OULAD and SHAP.

IEEE20