Challenge #127: US Grand Prix Lap 2 - Employee Retention

[ARussell34]

I followed the same process as instructed, but the top termination values are either .125 or .35, so the probability to leave (>= .5) makes it so none of the current employees are subject to leave as of running this workflow on 6/7/2022. 

[mhgarcia]

I ran into the versioning issue, but the theory is correct. 

[JamesCharnley]

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Wasted so much time working out where my problem was here before checking the comments and seeing the version issue. You would have thought I would have learned by now! I've seen this enough!

[acarter881]

Here's my solution.

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[FrederikE]

Same solutions as everyones here, but why is the output in the orginal WF different? 

[grazitti_sapna]

[DawnDuong]

Good practice for Predictive Tools. Thank you.

[trung2403]

My solution. The final results are much different given the Logistic Regression is selected. 

[JoshuaB]

Updating from my old profile

[martinding]

Different results, but the approach should be correct

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