Types of Classification in machine learning

Updated:01/20/2021 by Computer Hope

The Classification algorithm is a Supervised Learning technique that is used to identify the category of new observations on the basis of training data. In Classification, a program learns from the given dataset or observations and then classifies new observation into a number of classes or groups

    Classification Algorithms can be further divided into the Mainly two category:
  • Linear Models
  • Non-linear Models

Examples of classification problems include: Given an example, classify if it is spam or not. Given a handwritten character, classify it as one of the known characters

Applications of Classification Algorithms

  • Email spam classification
  • Bank customers loan pay willingness prediction.
  • Cancer tumor cells identification.
  • Sentiment analysis
  • Drugs classification
  • Facial key points detection
  • Pedestrians detection in an automotive car driving.


Types of Classification in machine learning

Types of Classification in machine learning