Hello, I am relatively new to Python and Machine Learning. I have a basic dataset for insurance fraud and a script that generates the model and runs the predictions. I am able to output the accuracy percentages, but I would like to also output the feature dependencies: For example, what role did each attribute play in the prediction? The policy_number would be 0.0% where as the claim_amount would likely be 56.2%, does this make sense? Is there a scikit function for this? Also, is "feature dependency" even the correct term? Thank you for your help! -Matt -- https://mail.python.org/mailman/listinfo/python-list
