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What can I do to resolve the issue of "FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan"?

asked 2021-09-07 11:00:00 +0000

pufferfish gravatar image

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answered 2021-06-13 15:00:00 +0000

scrum gravatar image

There are several steps you can take to resolve the issue of "FitFailedWarning" in a machine learning model:

  1. Check the input data: Make sure the input data is correct, clean, and properly formatted. Check for any missing or incorrect values and handle them appropriately.

  2. Adjust hyperparameters: The warning may indicate that the current hyperparameters are not suitable for the model. Try adjusting the hyperparameters and see if it resolves the issue.

  3. Increase dataset size: Try increasing the dataset size to improve the accuracy of the model.

  4. Change the model architecture: Depending on the problem at hand, you might need to change your model architecture. Try a different model or change the existing model’s architecture.

  5. Debug the code: Debug the model code to identify any errors that may be causing the warning.

  6. Consult with experts: If none of the above solutions work, it might be helpful to consult with experts in the field or seek guidance from online forums or community groups.

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Asked: 2021-09-07 11:00:00 +0000

Seen: 10 times

Last updated: Jun 13 '21