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Weekly Challenges
Solve the challenge, share your solution and summit the ranks of our Community!Also available in | Français | Português | Español | 日本語
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I needed to peak at solutions for this one. Way out of my league. But I think I learned something.
Spoiler
As I turn my attention to potentially sitting the expert this was an interesting one. I need to know the predictive pallet a lot better but this question itself was not logically difficult at all. Just a case of knowing what tools can get you to the desired outcome.
Quick google search helped me realize I needed a forest model to get the chart to find the 10 variables to look at next.
In terms of the Chi-Square I wasted time doing another forest model before realizing that was not giving the value I wanted - a problematic time waster for the real deal. The nested test tool I had no knowledge about but is a good one to know to get the desired outcome in this case. Logistic regressions makes sense given we are predicting a non continuous target variable.
Quick google search helped me realize I needed a forest model to get the chart to find the 10 variables to look at next.
In terms of the Chi-Square I wasted time doing another forest model before realizing that was not giving the value I wanted - a problematic time waster for the real deal. The nested test tool I had no knowledge about but is a good one to know to get the desired outcome in this case. Logistic regressions makes sense given we are predicting a non continuous target variable.
