Table 1.

Main differences between supervised and unsupervised learning.

Supervised learning	Unsupervised learning
Input data is labelled	Input data is unlabelled
There is a training phase	There is no training phase
Data is modelled based on training dataset	Uses properties of given data for classification
Divided into two types: Classification and Regression	Most popular types: Clustering and Dimensionality reduction
Known number of classes (for classification)	Unknown number of classes