Data Mining - Multi-class (classification|problem)

Thomas Bayes

About

Multiclass classification is used to predict:

Generally, there is no notion of closeness because the target class is nominal. See nominal measurement

Example

  • Is this product a book, a movie, or an article of clothing?
  • Is this movie a comedy, a documentary, or a thriller?
  • Which category of products is of most interest to this customer?

Documentation / Reference




Discover More
Classification
Data Mining - (Classifier|Classification Function)

A classifier is a Supervised function (machine learning tool) where the learned (target) attribute is categorical (“nominal”) in order to classify. It is used after the learning process to classify...
Linear Vs True Regression Function
Machine Learning - Linear (Regression|Model)

Linear regression is a regression method (ie mathematical technique for predicting numeric outcome) based on the resolution of linear equation. This is a classical statistical method dating back more...



Share this page:
Follow us:
Task Runner