I'm having a hard time finding a work around with this problem. So, I used Discretize by User Specification to categorized the values into five categories (Above Average, MTM, AM, LM, and VLM) then I set its role to label. I then used Cross Validation. This is where I started encountering problems, in the training area I used a logistic regression model but apparently it cannot handle a polynomial label. After browsing the internet, I used the Polynominal by Binominal Classification model then put the Logistic Regression model there. The error was gone but when I ran the process it says that it does have sufficient capabilities in handling an example set with only one label.
Correct me if I'm wrong, as I know, Logistic regression will run as long there are two values in a label (for example like yes or no). But why is it saying that my label has only one value when in fact it has five.