SOLVED
Challenge #127: US Grand Prix Lap 2 - Employee Retention
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kelly_gilbert
13 - Pulsar
11-24-2018
12:59 PM
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I'm in the People Analytics field, so this was up my alley!
Spoiler
I do want to point out that we would usually train the model using a subset of the data (e.g. the state of the workforce at the end of a prior year), rather than both training and scoring the model using the same set of current employees.

jssandom
8 - Asteroid
11-25-2018
08:04 AM
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pasccout
8 - Asteroid
12-12-2018
11:42 AM
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jamielaird
14 - Magnetar
12-29-2018
04:11 PM
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Here's my solution. I was only able to replicate the desired output after I changed the Decision Tree back to version 1.0.
16 - Nebula
01-14-2019
02:01 AM
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Natasha
10 - Fireball
01-18-2019
12:46 PM
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ipeng
8 - Asteroid
02-07-2019
07:36 AM
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JoshuaGostick
11 - Bolide
02-12-2019
06:27 AM
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My solution :)
13 - Pulsar
02-25-2019
07:19 AM
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KMiller
8 - Asteroid
02-25-2019
09:43 AM
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The solution is attached. This is weird though, my solution is the same as everyone else's but no employees have >0.5 leaving probability. I have downloaded a few other people's solutions and when I run them they do not have >0.5 probabilities either. I wonder if the latest version has changed the basis of calculation for the decision tree tool.