Supervised Learning: Classification

A common supervised learning problem is classification, applicable to data with discrete output labels. Examples of classification problems include:

• Spam email detection

• Face recognition

• Plant species prediction

• Human action recognition

In all examples mentioned above, we have a small set of classes or discrete labels to predict.

The following figure shows a binary classification problem having two classes:

• The first class is represented by green circle points.

• The second class is represented by blue square points.