Multi-Label Classification #16
Description
We can solve Binary and Multi-Class classification problems with the help of algorithms like Logistic Regression, Support Vector Machines, Random Forest, etc. So to solve the present Multi-Label classification we need to convert it into a binary or a multi-class classification.
Imagine we have three questions with tags,
The total set of labels are 4 (t1,t2,t3,t4). So now we can convert each question into a vector of size 4.
Binary Vector Representation
We can use CountVectorizer to convert all our tags into a binary vector.