Machine learning software to solve data mining problems. 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.
Weka is an open-source machine-learning workbench from the University of Waikato that aggregates algorithms and utilities for data preparation, modeling, and evaluation.
Comprehensive AI platform offering machine learning tools, code generation, data analysis, and interactive learning. Access Weka toolkit, Python environment, and AI assistant from your browser.
Weka is tried and tested open source machine learning software that can be accessed through a graphical user interface, standard terminal applications, or a Java API.
Weka is an open-source software tool developed at the University of Waikato, New Zealand for machine learning and data mining. It offers an easy-to-use environment for data preprocessing, model training and evaluation.
Scale Agentic AI with WEKA's accelerated infrastructure. Leverage NeuralMesh to extend GPU memory 1000x, eliminate latency, and maximize your AI data advantage. See the ecosystem in action.
Weka is open-source machine learning software issued under the GNU General Public License.
Weka 3 - Data Mining with Open Source Machine Learning Software in Java
Weka contains a collection of visualization tools and algorithms for data analysis and predictive modeling, together with graphical user interfaces for easy access to these functions. [1]
There are two versions of Weka: Weka 3.8 is the latest stable version and Weka 3.9 is the development version. New releases of these two versions are normally made once or twice a year.