How do I tune hyperparameters for my machine learning model?
An example of an AI chatbot conversation about tuning hyperparameters in machine learning.
How do I tune hyperparameters for my machine learning model?
Tuning hyperparameters involves adjusting the settings of your model to improve performance. What model are you using?
I'm using a random forest classifier.
Great choice! You can tune parameters like the number of trees, max depth, and min samples split. Have you tried using Grid Search?
No, I haven't. How does Grid Search work?
Grid Search systematically tests combinations of hyperparameters to find the best set based on cross-validated performance.
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