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I was recently doing a machine learning model and I was wondering if I should use logistic regression. The documentation says that this classifier can predict binary values (0 or 1). In my case, I had 4 possible values and I was in doubt whether I could use it or not. Therefore, I ended up opting for the Forest Random.
However, I was left with a question. If I had used some other classification algorithm, how many values can it predict? In the SVM sample chart, on the scikit-Learn website, it shows up to 3 different possible values.