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
Categories
Machine LearningLicense
GNU General Public License version 3.0 (GPLv3)Follow Weka
You Might Also Like
Monitor everything you run in your cloud without compromising on cost, granularity, or scale. groundcover is a full stack cloud-native APM platform designed to make observability effortless so that you can focus on building world-class products. By leveraging our proprietary sensor, groundcover unlocks unprecedented granularity on all your applications, eliminating the need for costly code changes and development cycles to ensure monitoring continuity.
Rate This Project
Login To Rate This Project
User Reviews
-
no hablo espanol I don't speak english either
-
good
-
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.
-
It is very efficient
-
Complete suite of ML algorithms