For question 13, I am not sure what it is asking me to do. How would I "perform separate analysis for each predictor to determine whether it is correlated with the class label" ?
I believe it is a thought exercise.
You do not need to actually perform this analysis in Modeler. The question is just looking for a general descriptive answer.
When screening predictors in an analysis you fit a separate model for each predictor in turn to try and predict the outcome. You then select only those predictors that do better than some level (e.g. correlation > 0.8). You would only consider predictors further for larger scale modeling (i.e. multiple predictors) if they survived this initial level of screening.
I hope that helps?
John
Thank you for your responses Daniel and John. That was precisely what I was wondering about i.e. whether it required a general descriptive answer or an actual analysis.