Machine Learning outcome with more than 2 categories-caret I know that there are many algorithms for ML problems where the outcome has 2 categories.
I am wondering kwon if there are algorithms that accept outcomes with more than 2 categories, especially in the caret package.

Every model for binary outcomes that I know has a multiclass analogue.
Logistic regression has multinomial logistic regression.
Neural networks with sigmoid activation functions for the final layer have softmax activation for multiple output neurons.
Random forest handles $3+$ classes fine. SVM handles $3+$ classes fine.
Depending on the software, there might be considerable differences when it comes to preprocessing data and calling functions, but it can be done.
