How to Install and Uninstall libalgorithm-naivebayes-perl Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: December 25,2024

1. Install "libalgorithm-naivebayes-perl" package

This guide let you learn how to install libalgorithm-naivebayes-perl on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libalgorithm-naivebayes-perl
            
                    
    
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2. Uninstall "libalgorithm-naivebayes-perl" package

Please follow the guidelines below to uninstall libalgorithm-naivebayes-perl on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                libalgorithm-naivebayes-perl
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libalgorithm-naivebayes-perl package on Ubuntu 21.04 (Hirsute Hippo)

Package: libalgorithm-naivebayes-perl
Architecture: all
Version: 0.04-1.1
Priority: optional
Section: universe/perl
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Perl Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 37
Depends: perl:any
Filename: pool/universe/liba/libalgorithm-naivebayes-perl/libalgorithm-naivebayes-perl_0.04-1.1_all.deb
Size: 12336
MD5sum: a200bd728da41f5bf782900beb1994fb
SHA1: ce4abefa3f30e74ea2a798292f0dfac4f91fe577
SHA256: 6a6722f57e44c9db96368047758a6b259bfd41933c5b49387eccfa42c560a7c4
SHA512: fa837c2e979157a4772d715a9f2233593fc7bbb02ae5e95579e9214ba7b39e0e1f22f79c4c787c5ad72346fd1ee5d66617f000cc37171aa38024b941a4fc6996
Homepage: https://metacpan.org/release/Algorithm-NaiveBayes
Description-en: module to make bayesian prediction of categories
Algorithm::NaiveBayes implements the classic "Naive Bayes" machine learning
algorithm. It is a well-studied probabilistic algorithm often used in
automatic text categorization. Compared to other algorithms (kNN, SVM,
Decision Trees), it's pretty fast and reasonably competitive in the quality
of its results.
Description-md5: 7d760bca19c3eecbc8ba1d23a15214eb