Data Mining - Multi-class (classification|problem)

Thomas Bayes


Multiclass classification is used to predict:

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


  • 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

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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...
Thomas Bayes
Data Mining - (Class|Category|Label) Target

A class is the category for a classifier which is given by the target. The number of class to be predicted define the classification problem. A class is also known as a label. Labeled...
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...

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