How to Install and Uninstall weka Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: November 07,2024

1. Install "weka" package

Please follow the step by step instructions below to install weka on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                weka
            
                    
    
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2. Uninstall "weka" package

Please follow the steps below to uninstall weka on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                weka
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the weka package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: weka
Priority: optional
Section: universe/science
Installed-Size: 8021
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Java Maintainers
Architecture: all
Version: 3.6.13-1
Depends: default-jre | java7-runtime | java6-runtime, java-wrappers, cup (>= 0.11a+20060608)
Suggests: libsvm-java
Filename: pool/universe/w/weka/weka_3.6.13-1_all.deb
Size: 7218182
MD5sum: 06d48686f139062c279d8e87c6648fee
SHA1: 9ed5cef0a52b33f3f967e5d418c219c5759319f6
SHA256: ac823bd17b2d411b4a251cffbaab8eb483d006833c2729beb5190b9697cd3446
Description-en: Machine learning algorithms for data mining tasks
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.
.
Implemented schemes cover decision tree inducers, rule learners, model
tree generators, support vector machines, locally weighted regression,
instance-based learning, bagging, boosting, and stacking. Also included
are clustering methods, and an association rule learner. Apart from
actual learning schemes, Weka also contains a large variety of tools
that can be used for pre-processing datasets.
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This package contains the binaries and examples.
Description-md5: f7b0cb5ee78d372ccf23e04524660343
Homepage: http://www.cs.waikato.ac.nz/~ml/weka/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu