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Hello, I am using autoML to perform a binary classification task. Would someone be able to advise me on how I could create a visual similar to the mean feature importance chart but that also displays weather the feature indicates a weighting towards the positive or negative class. This would be really helpful for my interpretation of my model.
There are packages within scikit learn that do this but I do not know how to extract a particular model from automl to then use in scikit learn.
The text was updated successfully, but these errors were encountered:
Thanks for question. What method would you like to use for interpretation? I think the easiest way would be to use AutoML to search for optimal parameters and then train single model with scikit-learn.
Hello, I am using autoML to perform a binary classification task. Would someone be able to advise me on how I could create a visual similar to the mean feature importance chart but that also displays weather the feature indicates a weighting towards the positive or negative class. This would be really helpful for my interpretation of my model.
There are packages within scikit learn that do this but I do not know how to extract a particular model from automl to then use in scikit learn.
The text was updated successfully, but these errors were encountered: