How to Install and Uninstall weka Package on Kali Linux

Last updated: May 03,2024

1. Install "weka" package

This guide let you learn how to install weka on Kali Linux

$ sudo apt update $ sudo apt install weka

2. Uninstall "weka" package

This tutorial shows how to uninstall weka on Kali Linux:

$ sudo apt remove weka $ sudo apt autoclean && sudo apt autoremove

3. Information about the weka package on Kali Linux

Package: weka
Version: 3.6.14-4
Installed-Size: 13185
Maintainer: Debian Java Maintainers
Architecture: all
Depends: cup (>= 0.11a+20060608), default-jre | java7-runtime | java6-runtime, java-wrappers
Suggests: libsvm-java
Size: 6697972
SHA256: 6251dbcd3fd76469a952dc0d7e437b23b4414fc577e05b0073adf9d4e92653b5
SHA1: 9b61f562d3714c42a0a33db170df0efd0aede4ee
MD5sum: 07d45dc0a956887b451c1ea5a890d51b
Description: 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.
.
This package contains the binaries and examples.
Description-md5:
Homepage: https://www.cs.waikato.ac.nz/~ml/weka/
Tag: field::statistics, implemented-in::java, interface::commandline,
interface::graphical, interface::x11, role::program,
science::calculation, scope::utility, use::analysing, use::calculating,
works-with-format::TODO, works-with::db, works-with::text,
x11::application
Section: science
Priority: optional
Filename: pool/main/w/weka/weka_3.6.14-4_all.deb