In case you missed the announcement: The Alteryx One Fall Release is here! Learn more about the new features and capabilities here
ACT NOW: The Alteryx team will be retiring support for Community account recovery and Community email-change requests after December 31, 2025. Set up your security questions now so you can recover your account anytime, just log out and back in to get started. Learn more here
Start Free Trial

Alteryx Designer Desktop Discussions

Find answers, ask questions, and share expertise about Alteryx Designer Desktop and Intelligence Suite.
SOLVED

Forest Model & Logistic Regression tools

datascot
7 - Meteor

Hi,
    Having a few problems setting up Random Forest & Logistic Regression models.

When  I run a Random Forest model, the output report is not giving a confusion matrix.
Just wondered if there was an obvious reason why this is happening.

Also, in logistic regression models, is it advisable to normalise predictor variables? (e.g. 0-1 range)
(there seems to be conflicting advice when I Google it)

It's just a fairly straightforward credit default dataset I'm using but the results are all

over the place.

thanks
J

10 REPLIES 10
Outlaws
6 - Meteoroid

Hey Folks, im using the forest model tool and I would like to look at the confusion matrix, precision score, etc and see how accurate the model is besides finding the MSE = 0.04. What can i do to obtain that? 

Labels
Top Solution Authors