Introduction to Classification Models

Ever wonder what classification models do? In this quick introduction, we talk about what classifications models are, as well as what they are used for in machine learning. In machine learning there are many different types of models, all with different types of outcomes. When it comes to classification or statistical classification, the model is trying to identify two or more determined classes, i.e. Apples and Bananas, and classify them accordingly. Usually, these models have been trained using a training set.

Learn more about Classification Models:
Introduction to the Confusion Matrix
Precision, Recall and F1 in Classification
One Versus One vs. One Versus All in Classification

Complete Series:
Data Science in Minutes

More Data Science Material:
[Video] One vs. One versus One vs. All
[Video] Data Attributes: Data Mining Fundamentals
[Blog] A Comprehensive Tutorial on Classification Using Decision Trees


Rebecca Merrett
About The Author
- Rebecca holds a bachelor’s degree of information and media from the University of Technology Sydney and a post graduate diploma in mathematics and statistics from the University of Southern Queensland. She has a background in technical writing for games dev and has written for tech publications.


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