Hyperparameter Tuning a Random Forest Classifier using Grid Search in Python
Hyperparameters control how a machine learning algorithm learns and how it behaves. Unlike the internal parameters (coefficients, etc.) that the algorithm automatically optimizes during model training, hyperparameters are model characteristics (e.g., the number of estimators for an ensemble model) that we must set in advance. Finding the optimal hyperparameter configuration … Read more
