Dengxiang Ji

Prediction and interpretation of comprehensive performance of large-scale instruments in universities using interpretable machine learning

To promote data-driven management of large-scale scientific instruments in universities, this study builds a predictive model for the instruments’ comprehensive performance score (CPS) and identifies its core influencing factors by integrating machine learning (ML) and interpreta...