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Feature importance in Redshift

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After creating and finishing the model training in Redshift we can predict with the new model. How can we see the target function of the model or feature importance of the single columns which were used as an input? To describe it in another way we want to see the correlations to the target column after the model training.

Topics
AnalyticsMachine Learning & AI
Tags
AnalyticsMachine Learning & AIAmazon Redshift
Language
English
AWS-User-0952941
asked 2 years ago283 views
1 Answer
1

Hello, this information is mentioned on this documentation guide ->https://docs.aws.amazon.com/redshift/latest/dg/clarify.html. Basically it talks about the EXPLAIN_MODEL function that helps you understand how each attribute in your training data contributes to the predicted result ->https://docs.aws.amazon.com/redshift/latest/dg/ml-function.html

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SUPPORT ENGINEER
AWS-User-1485210
answered 2 years ago
  • AWS-User-0952941
    2 years ago

    Is with the CREATE MODEL command automatically the explanation output created? Or how do i have to set it?

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