Advent of Code is back! Unwrap daily challenges to sharpen your Alteryx skills and earn badges along the way! Learn more now.
Weekly Challenges
Solve the challenge, share your solution and summit the ranks of our Community!Also available in | Français | Português | Español | 日本語
IDEAS WANTED
Want to get involved? We're always looking for ideas and content for Weekly Challenges.
SUBMIT YOUR IDEA
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.
