Discover this year's submissions to the Dataiku Frontrunner Awards and give kudos to your favorite use cases and success stories!READ MORE

Don't force imputation of numerical missing values in AutoML

0 Kudos

The visual ML Feature handling forces numerical columns to either drop rows with missing values or impute them.

There are algorithms (like Histogram based gradient boosting) that are able to natively handle missing values. Suggest having an option to keep missing values as is with compatible algorithms, especially to enable custom user implemented algorithms, even if none currently exist natively in the Visual ML selection.

yashpuranik
1 Comment
yashpuranik
Neuron
Neuron

Screenshot 2022-09-16 093903.png