What are the ‘entropy’ feature(s) that were auto created?

[rking]

My OTV project includes multiple datasets. After running autopilot I see I have many more features (looking at the Informative Features) and that some are named “entropy” … like “(60 days entropy)”
What are these ‘entropy’ feature(s) that DataRobot derived? How should I use them?

[vyas.adhikari · Accepted solution]

It's a measure of how messy and unpredictable an array of values is (e.g. how diverse is a categorical column). If all values were the same, entropy would be 0, if all values were different from each other, entropy would be 1. It's therefore indeed a measure of predictability, or order in the data. It can be applied to categoricals where there's no ordering defined

[doyouevendata]

Note that at this point you can use them as any other feature - but since DataRobot derived them, you will not need to provide them should you choose to deploy a model that leverages them.  DataRobot will derive them during a scoring request, as long as you provide the input features associated with them.

[rking]

@vyas.adhikari @doyouevendata appreciate your help