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
Solved! Go to Solution.
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?