Hyper parameters

In artificial intelligence and machine learning studies, hyper parameters directly influence model performance, training stability, reproducibility and scientific reliability. Yet many AI manuscripts fail to report hyper parameters completely, making results difficult or impossible to reproduce. Increasingly, reviewers from CLS expect transparent reporting of all training and optimization settings. Research reproducibility frameworks emphasize that AI…