How can I improve log loss in my machine learning model?
An example of an AI chatbot conversation about improving log loss in ML models.
How can I improve log loss in my machine learning model?
Improving log loss can involve several strategies. Have you considered adjusting your model's hyperparameters?
Yes, but I'm not sure which hyperparameters to focus on.
You might want to start with learning rate, regularization strength, and the number of estimators if you're using ensemble methods.
What about feature engineering? Could that help?
Absolutely! Feature engineering can significantly impact your model's performance. Try creating new features or transforming existing ones.
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