A multi-class classification problem is one where the goal is to predict a discrete variable that has three or more possible values. For example, you might want to predict a person's political leaning ...
Dr. James McCaffrey of Microsoft Research says a neural network model is arguably the most powerful multi-class classification technique. A multi-class classification problem is one where the goal is ...
Last month we examined the use of logistic regression for classification, in which the class of a data point is predicted given training data 1. This month, we look at how to evaluate classifier ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback