Computer Vision (1)
Generative AI (2)
Machine Learning Basics (18)
Deep Learning (52)
- DL Basics (16)
- DL Architectures (17)
  - Feedforward Network / MLP (2)
  - Sequence models (6)
  - Transformers (9)
- DL Training and Optimization (17)
Natural Language Processing (27)
- NLP Data Preparation (18)
Supervised Learning (115)
- Regression (41)
  - Linear Regression (26)
  - Generalized Linear Models (9)
  - Regularization (6)
- Classification (70)
  - Logistic Regression (10)
  - Support Vector Machine (9)
  - Ensemble Learning (24)
  - Other Classification Models (9)
  - Classification Evaluations (9)
Unsupervised Learning (55)
- Clustering (37)
  - Distance Measures (9)
  - K-Means Clustering (9)
  - Hierarchical Clustering (3)
  - Gaussian Mixture Models (5)
  - Clustering Evaluations (6)
- Dimensionality Reduction (9)
Statistics (34)
Data Preparation (35)
- Feature Engineering (30)
- Sampling Techniques (5)

Regression vs. Classification

Updated: March 26, 2023

Regression is primarily used when we are trying to model continuous numerical response variable. Classification is used when we are trying to predict categorical response variable.

Examples:

Estimating how much a customer will spend in the upcoming month is Regression.
Predicting if the customer will default or not is Classification

Author

AIML.com

Help us improve this post by suggesting in comments below:

– modifications to the text, and infographics
– video resources that offer clear explanations for this question
– code snippets and case studies relevant to this concept
– online blogs, and research publications that are a “must read” on this topic

Leave the first comment (Cancel Reply)

You must be logged in to post a comment.

Partner Ad

Join us on:

Find out all the ways that you can

Contribute

Partner Ad

Learn Data Science with Travis - your AI-powered tutor | LearnEngine.com

Regression vs. Classification

Author

Leave the first comment (Cancel Reply)

Other Questions in Supervised Learning