Weka is a popular open-source graphical user interface-based software suite for data preprocessing, classification, regression, clustering, association rules, and visualization.
Weka was developed in the Department of Computer Science at the University of Waikato, New Zealand in 1993
It started as a set of support software for a data mining book by Ian H. Witten and Eibe Frank named Data Mining: Practical Machine Learning Tools and Techniques
It became so popular that the suite was later named after a flightless bird native to New Zealand - the Weka
The latest version of Weka as of 2021 is Weka 3.9.5
Rapid Miner is another open-source data science platform that offers a graphical user interface to build data analysis workflows. It also supports the blending of R and Python scripts.
KNIME is another open-source data science platform that offers a visual interface to build workflows. It supports a wide range of data sources and pipelines.
Orange is another open-source data science and machine learning software suite that supports Python scripting and offers a graphical user interface for data analysis workflows.
The Weka Explorer provides a graphical user interface for data preprocessing, feature selection, classification, and clustering.
The Weka Knowledge Flow provides a graphical interface for building complex workflows and supports real-time data processing.
The Weka API allows developers to integrate Weka functionality into their own software projects and applications.
Weka supports a wide range of data formats, including CSV, ARFF, C4.5, binary data, and more.
Yes, Weka is available for commercial use under the GNU General Public License (GPL).
No, Weka does not support deep learning out-of-the-box, but it can be integrated with deep learning libraries such as TensorFlow and Keras.
Yes, Weka supports importing data from a variety of databases, including MySQL, PostgreSQL, and Microsoft SQL Server.
Weka has a bit of a learning curve due to its wide range of features and complexity. However, there are many tutorials and resources available online to help beginners get started.