https://github.com/smabdullah/multioutput_classification

In project explains how to work with Sklearn multioutput class for multiple targets in classification
https://github.com/smabdullah/multioutput_classification

multioutput-classification sklearn

Last synced: 3 months ago
JSON representation

In project explains how to work with Sklearn multioutput class for multiple targets in classification

• Host: GitHub
• URL: https://github.com/smabdullah/multioutput_classification
• Owner: smabdullah
• License: mit
• Created: 2019-04-11T00:56:49.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2019-04-12T04:31:25.000Z (over 7 years ago)
• Last Synced: 2025-10-30T18:50:25.908Z (9 months ago)
• Topics: multioutput-classification, sklearn
• Language: Python
• Size: 7.81 KB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# Multioutput classification

When I started learning different machine learning algorithms, I always asked myself how to handle multiple targets. That is, for a regression we need to predict multiple target variables and same for classification. This project explains how to use the Sklearn multioutput class for handling multiple outputs for classification and regression.