What are the best practices for tuning machine learning models?
An example of an AI chatbot conversation about best practices in machine learning model tuning.
What are the best practices for tuning machine learning models?
Some best practices include using cross-validation, grid search, and understanding your model's hyperparameters.
Can you explain what hyperparameters are?
Hyperparameters are settings that you configure before training a model, like learning rate and number of trees.
How does cross-validation help in tuning?
Cross-validation helps by providing a better estimate of model performance and reducing overfitting.
What is grid search and how does it work?
Grid search is a method to systematically explore combinations of hyperparameters to find the best model performance.
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