I have been doing a problem in which I have to predict probabilities for each of the labels in a multi-label (four to be precise) classification problem.
Example of a solution:
Id, North, East, West, South 1, 0.71663940211, 0.037567315693, 0.03525987339, 0.0021068944991 ...
The training data is of the form where each y(i) is labelled either 0,1,2 or 3 (encoded for N,E,W & S respectively)
I will be grateful if you can just tell me how to approach this problem. Links giving direct insight to the problem will also sufficient.