Why is hyperparameter tuning considered a crucial step after model evaluation, and what are some common methods used to find the optimal hyperparameters for a machine learning model?
Saturday, 26 April 2025
by Mohammed Khaled
Hyperparameter tuning is an integral part of the machine learning workflow, particularly following the initial model evaluation. Understanding why this process is indispensable requires a comprehension of the role hyperparameters play in machine learning models. Hyperparameters are configuration settings used to control the learning process and model architecture. They differ from model parameters, which are