How can I tune my Scikit-learn model for better performance?
An example of an AI chatbot conversation about tuning Scikit-learn models for improved accuracy.
How can I tune my Scikit-learn model for better performance?
You can tune your Scikit-learn model by adjusting hyperparameters using techniques like Grid Search or Random Search.
What are hyperparameters, and why are they important?
Hyperparameters are settings that you configure before training your model. They can significantly affect model performance.
Can you give me an example of using Grid Search?
Sure! You can use GridSearchCV from Scikit-learn to search for the best combination of hyperparameters for your model.
What metrics should I use to evaluate my model's performance?
Common metrics include accuracy, precision, recall, and F1-score, depending on your specific problem.
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