How to Install and Uninstall libalgorithm-naivebayes-perl Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: September 19,2024

1. Install "libalgorithm-naivebayes-perl" package

Please follow the guidelines below to install libalgorithm-naivebayes-perl on Ubuntu 20.10 (Groovy Gorilla)


    
        
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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 guidance below to uninstall libalgorithm-naivebayes-perl on Ubuntu 20.10 (Groovy Gorilla):


    
        
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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 20.10 (Groovy Gorilla)

Package: libalgorithm-naivebayes-perl
Architecture: all
Version: 0.04-1
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
Filename: pool/universe/liba/libalgorithm-naivebayes-perl/libalgorithm-naivebayes-perl_0.04-1_all.deb
Size: 12152
MD5sum: 96b3b86952379e4294fe5af2aec97d8b
SHA1: 86937d38fb8935fd0ca932ced68144570d2d2ee9
SHA256: 92a5da0b3266e9b356718f5abb81b5b6a25f3075a832dfc163bdfcaf09ef0477
SHA512: c7d2c93c15f337cb3eef7c19c68086ae348e57829497a2e02ba626046f7815dfe733e2e02ae670f11d452e94f6c81f7e11c77a572543da110194edcde6556cc1
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