How to Install and Uninstall libstatistics-contingency-perl Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 26,2024

1. Install "libstatistics-contingency-perl" package

This guide covers the steps necessary to install libstatistics-contingency-perl on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libstatistics-contingency-perl
            
                    
    
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2. Uninstall "libstatistics-contingency-perl" package

This guide covers the steps necessary to uninstall libstatistics-contingency-perl on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libstatistics-contingency-perl
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libstatistics-contingency-perl package on Ubuntu 21.10 (Impish Indri)

Package: libstatistics-contingency-perl
Architecture: all
Version: 0.09-1.1
Priority: optional
Section: universe/perl
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Perl Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 31
Depends: perl:any, libparams-validate-perl
Filename: pool/universe/libs/libstatistics-contingency-perl/libstatistics-contingency-perl_0.09-1.1_all.deb
Size: 11280
MD5sum: 627bbc972880caf9366a9c4a7588b209
SHA1: 18e680d803e2bab0196f01683293a9447a4e5370
SHA256: 8de90a257550939a73217cd69f8e76ba0870dc6b46a8a2309614775abb3f2d0a
SHA512: 2a4e5f2e23fba7bf7aeccc84e6391cdd81b2145392429b89f0191b7b9a3863c02d8dab984607e40872426f6d05ead2f0437e4da6755d86e5ba92c55a58c301d9
Homepage: https://metacpan.org/release/Statistics-Contingency
Description-en: module to calculate precision, recall, F1, accuracy, etc.
The Statistics::Contingency class helps you calculate several useful
statistical measures based on 2x2 "contingency tables". These measures
can help judge the results of automatic text categorization experiments, but
they are useful in other situations as well.
.
The general usage flow is to tally a whole bunch of results in the
Statistics::Contingency object, then query that object to obtain the measures
you are interested in. When all results have been collected, you can get a
report on accuracy, precision, recall, F1, and so on, with both
macro-averaging and micro-averaging over categories.
Description-md5: fb9c95544aae6c91a869d4cddad75fa1