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Predictive models are statistical models whose primary purpose is to predict other observations of a system optimally, as opposed to models whose purpose is to test a particular hypothesis or explain a phenomenon mechanistically. As such, predictive models place less emphasis on interpretability and more emphasis on performance.

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Variables Importance to Predicted Value

I'm working on a model to understand the predictors (variables) importance, and whether going forward I should include them in the model which should scale over > 1M rows. Here is a sample of my data …
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