Assisted modelling tool in designer

[aatalai]

Hi all

Wanted to ask does anyone know if for the assisted modelling tool we need to split the data into training and validation data set? As II saw some documentation from a couple years back that said yes, but at inspire in 2022 they said not required as it is all done within the tool and as part of the scoring of the different models; can't see any documentation to support this so would be great to validate this either way?

Many Thanks

[c-lopez]

Hi @aatalai,

Great question. For Alteryx Intelligence Suite used on Designer Desktop use the Create Samples tool to split into the sample sizes you need.
In the Alteryx Machine Learning platform for Cloud this step is already automatically included, this is perhaps what you recall from Inspire.

I hope this helps,

Regards

[aatalai]

@c-lopez thanks for your response. Is there a tool for the python tools to compare the models based on the unseen data (validation data set). As for the R tools there is the model comparison tools?

Ta

[c-lopez]

Great question again. The path of least resistance would be to create the samples as I mentioned before and then leave your validation set as the input for the scoring tool that way you can compare yourself after analysis. Not ideal but this is the closes to what you want to accomplish.

For the R based tools you can use this model comparison tool.

[aatalai]

@c-lopez Thanks so there is no python prebuuilt one to calculate F1/AUC/RMSE etc? For scoring the unseen data?

I'm comfortable with the r tools and splitting the data