Up to how many different levels can a classifier predict?

Asked

Viewed 30 times

0

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.

python algorithm date machine-learning machine-learning

1 answer

3

Unless it is a binary classifier, there is no limit to the number of classes a classifier can work with. Logistic regression is a binary classifier, so it cannot be used to perform a classification task whose variable response has 3 or more levels.

Like Random Forest, SVM is also multiclass and can therefore be used in the problem in question.

Browser other questions tagged python algorithm date machine-learning machine-learning

You are not signed in. Login or sign up in order to post.