Classification

Classification is the use of a modeling process to assign classes to data. 

Class Identifiers

Class identifiers are related to Machine Learning applications, such as:

  • Object Recognition - person, bicycle, car, sign

  • Churn Prediction - low, medium, high

  • Credit Scoring - score numbers

  • Handwritten Numbers - digits

Data

Data is used to measure features of of observation instances.

Modeling Process

The Modeling Process is used to train models to perform classification predictions.

Classified Data

Data describing features related to specific observations is classified, such as:

  • Object Recognition - bicycle

  • Churn Prediction - high

  • Credit Scoring - 810

  • Handwritten Numbers - 7

Classification vs. Regression

Classification produces discrete category predictions. Regression produces continuous number predictions.

References