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. Weka is an acronym which stands for Waikato Environment for Knowledge Analysis.

Weka is a collection of machine learning algorithms in Java that can either be used from the command-line, or called from your own Java code. Weka is also ideally suited for developing new machine learning schemes.

Weka also contains a large variety of tools that can be used for pre-processing datasets. 

Weka has been tested by Apps4Rent engineers and it works well on Debian 11:

Features of Weka: 

• Machine learning.
• Data mining.
• Preprocessing.
• Clustering.
• Workflow and visualization.
• Regression.

Disclaimer:  Apps4Rent does not offer commercial licenses of any of the products mentioned above. The products come with open source licenses.

Default ports: 

• SSH:22
• HTTP: 80
• HTTPS:443