How do I choose regularization parameters for my model?
Choosing regularization parameters involves understanding the trade-off between bias and variance. Are you using L1 or L2 regularization?
I'm using L2 regularization. What should I consider?
For L2 regularization, you can use techniques like cross-validation to find the optimal parameter. Have you tried that?
Not yet. How does cross-validation help in this case?
Cross-validation helps by splitting your data into training and validation sets, allowing you to evaluate how different regularization parameters affect model performance.
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