# What should I use - Multi label classification or Multi class classification? [duplicate]

As far as I understand, this method is not preferred in multi-label classification scenarios where the no. of individual labels is large. That is, if $n$ is the no. individual labels, then a sample could take any of the $2^n-1$ combination of labels. Hence for large $n$, opting for a multi-class classification (with $2^n-1$ classes) could be a bad idea. But, in my case $n=2$, which is a trivial case. Hence, I am considering multi-class classification as an option. Please advise on this and let me know if I am right. Also, if possible please point to literature where such trivial case of multi-label classification problems are dealt with.