How to Perform Scikit-learn Hyperparameter Optimization with Optuna

Optuna is a machine learning framework designed for automating hyperparameter optimization. This guide demonstrates how to integrate Optuna with Scikit-learn for optimizing a random forest classifier using the digits dataset. The process involves defining a search space, splitting the dataset, initializing the model, and using cross-validation. Optuna is preferred over conventional methods due to its Bayesian optimization approach and pruning strategies.