Option A is clearly the way to go. I mean, who needs those pesky 'important' predictors when you can just rely on the wisdom of good ol' Einstein? He's got recommendations for everything, from relativity to storytelling.
B) In the Story Settings, where the strength of predictor fields is calculated and visualized. The consultant can sort the list of predictor fields accordingly.
A) In the Einstein Recommendations for story improvement. If there are no recommendation to remove strongest predictors, the story doesn't hold any Important predictors but only weak (probably unrelated) terms.
Ah, the joys of predictive analytics. I'll have to go with option C, the Model Deployment Wizard. After all, who doesn't love a good wizard-powered predictor selection?
Hmm, I'm torn between B and D. Sorting the predictor fields in the story settings sounds like a solid approach, but the model metrics section is probably the more straightforward option. Decisions, decisions...
Hah! Einstein Recommendations? What is this, a movie about a genius physicist turned storyteller? I'm going with option B, the story settings is where it's at.
Deane
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