Code accompanying the paper: M. Sipper, "High Per Parameter: A Large-Scale Study of Hyperparameter Tuning for Machine Learning Algorithms", Algorithms 2022, 15, 315.

• main.py: main module (Algorithm 1 in the paper)
• datasets.py: handle datasets used
• tune.py: hyperparameter tuning with Optuna
• score.py: compute metrics
• hp.py: define hyperparamter ranges/sets per algorithm
• stats.py: compute stats and hp_score

Citations are always appreciated 😊:

@Article{Sipper2022Hyper, AUTHOR = {Sipper, Moshe}, TITLE = {High Per Parameter: A Large-Scale Study of Hyperparameter Tuning for Machine Learning Algorithms}, JOURNAL = {Algorithms}, VOLUME = {15}, YEAR = {2022}, NUMBER = {9}, ARTICLE-NUMBER = {315}, }