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It is clearly described how the models should be entered, however, no employee is awarded a predicted probability to leave above ~.35 so none of the records join (using 2019.2 here, so perhaps some changes were made within underlying R packages such as C5.0, cart, partykit?)
Anyways, I did what was expected in the challenge and I wasted a lot of time to figure out why my results are different
Had it built in under 10 minutes, but took a long time to figure out why I was getting no results >= .5. Finally looked at other newer replies and found the need to revert Decision Tree to earlier version.
I slightly reinterpreted the challenge. Because of tool version discrepancies I decided to use all the available predictive tools to see if I can get similar records with any of them. The answer is no. I created my own list of employees by unioning the result from all the predictive tools and keeping the ones which came out of more than one tool.
My predictive tools aren't outputting >= 0.5 probability. Either are other solutions I've downloaded... probably the difference in Alteryx versions since this challenge is 1+ years old. I'll still chalk this up as a win?!