Classification and regression algorithms for WEKA implemented in Python

About this item

Title

Classification and regression algorithms for WEKA implemented in Python

Content partner

University of Waikato

Collection

ResearchCommons@Waikato

Description

WEKA is a popular machine learning workbench written in Java that allows users to easily classify, process, and explore data. There are many ways WEKA can be used: through the WEKA Explorer, users can visualise data, train classifiers and examine performance metrics; in the WEKA Experimenter, datasets and algorithms can be compared in an automated fashion; or, it can simply be invoked on the command-line or used as an external library in a Java project.

Format

Research Paper

Research format

Working or discussion paper

Date created

2015-10

Creator

Beckham, Christopher J.

URL

https://hdl.handle.net/10289/9773

Related subjects

Computer Science

What is the copyright status of this item?

All Rights Reserved

This item is all rights reserved, which means you'll have to get permission from University of Waikato before using it.

More Information

University of Waikato has this to say about the rights status of this item:

©2023 The Author(s). This is an open-access article under the CCBY license (http://creativecommons.org/licenses/by/4.0/).

You can learn more about the rights status of this item at: https://researchcommons.waikato.ac.nz/pages/copyright_reuse/en

What can I do with this item?

You must always check with University of Waikato to confirm the specific terms of use, but this is our understanding:

Non-infringing use

NZ Copyright law does not prevent every use of a copyright work. You should consider what you can and cannot do with a copyright work.

No sharing

You may not copy and/or share this item with others without further permission. This includes posting it on your blog, using it in a presentation, or any other public use.

No modifying

You are not allowed to adapt or remix this item into any other works.

No commercial use

You may not use this item commercially.