Multiclass
Contents
Multiclass#
OVA - one versus all#
If have k classes, train k classifiers, each of which predicts yes/no is the data point this class
AVA - all versus all#
If have k classes, train k choose 2 classifiers, each of which says is it more one class or the other. Select class with most votes. Could also do binary tree.
Excercises#
Derive OVA, AVA error bounds