Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code.

Features

  • machine learning
  • data mining
  • preprocessing
  • classification
  • regression
  • clustering
  • association rules
  • attribute selection
  • experiments
  • workflow
  • visualization

Project Samples

Project Activity

See All Activity >

Categories

Machine Learning

License

GNU General Public License version 3.0 (GPLv3)

Follow Weka

Weka Web Site

Other Useful Business Software
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
Start Free
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
★
49
1
1
0
0
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5

User Reviews

  • 5 out of 5 stars
    Very Professional
  • 3 out of 5 stars
    no hablo espanol I don't speak english either
  • 5 out of 5 stars
    good
  • 4 out of 5 stars
    excellent tool. Sir, In earlier version we had artificial immune algorithms AIRS algorithms and Immunos algorithms and neural network algorithms , with Welaclassalgo do we have same algorithms in 3.8.4 version.
  • 5 out of 5 stars
    It is very efficient
Read more reviews >

Additional Project Details

Intended Audience

Developers, End Users/Desktop

User Interface

Command-line, Java Swing

Programming Language

Java

Related Categories

Java Machine Learning Software

Registered

2000-04-27