How do I choose hyperparameters for my model?
An example of an AI chatbot conversation about selecting hyperparameters for machine learning models.
How do I choose hyperparameters for my model?
Choosing hyperparameters involves understanding your model and the data. What type of model are you using?
I'm using a random forest model.
For a random forest, key hyperparameters include the number of trees, max depth, and min samples split. Do you need help with specific values?
Yes, what are some good starting values for those?
A good starting point is 100 trees, max depth of 10, and min samples split of 2. You can tune these based on validation performance.
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