Explainable machine learning for project management control

•A new method for project control management under uncertainty is presented.•The approach is based on Monte Carlo simulation and machine learning.•Shapley Additive explanations unveil relevant information about the project.•Forward analyses allow understanding and acting on the key variables of the project.•Backward analyses allow explaining the causes of the project status and progress.