Machine Learning and Inference Reporting Criteria
(Wojtusiak)
The goal of this project is to design reporting criteria for Machine Learning applications in areas in which special care need to be taken in terms of transparency and reproducibility of results. The following ten criteria have been developed:
MLI-1: Experimental Design
MLI-2: Statistical Model Evaluation
MLI-3: Model Calibration
MLI-4: Top Predictors
MLI-5: Global Sensitivity Analysis
MLI-6: Decision Curve Analysis
MLI-7: Global Model Explanation
MLI-8: Local Prediction Explanation
MLI-9: Programming Interface
MLI-10: Source Code