The role of hyperparameters in machine learning models and how to tune them
The role of hyperparameters in machine learning models and how to tune them
Abstract Hyperparameters critically influence how well machine learning models perform on unseen, out-of-sample data. Systematically comparing the performance of different hyperparameter settings will often go a long way in building confidence about a model's performance. However, analyzing 64 machine learning related manuscripts published in three leading political science journals (APSR, …