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Weka

Weka is a collection of machine learning algorithms for data mining tasks

Features

Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization. - Official website

Weka(Waikato Environment for Knowledge Analysis) provides access to deep learning with WekaDeeplearning4j which uses Deeplearning4j.

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Platform

Social

 

System Requirements

#Recommended
1Java v8

Ratings

Aggregate
4.58 
 5

Capterra4 
 5
based on 7 reviews
Class Central4.8 
 5
based on 19 reviews
G2CROWD4.5 
 5
based on 10 reviews
SourceForge5 
 5
based on 50 reviews

Developer

Eibe Frank, Mark Hall, Peter Reutemann, Len Trigg, University of Waikato

Written in

Java

Initial Release

1 May 2000


This page was last updated with commit: Following: - Fixed: missing sources for features now added - Removed: Google Analytics Async (deprecated) - Added: missing aria-labels to input elements - Updated: partials/seo.html code for new data structure - Fixed: changed aria-label to title for span and divs - Fixed: color of status icon on softpages not appearing correctly (5221a6e)