About this item
- Title
- A diagnostic tool for tree based supervised classification learning algorithms
- Content partner
- University of Waikato
- Collection
- ResearchCommons@Waikato
- Description
The process of developing applications of machine learning and data mining that employ supervised classification algorithms includes the important step of knowledge verification. Interpretable output is presented to a user so that they can verify that the knowledge contained in the output makes sense for the given application. As the development of an application is an iterative process it is quite likely that a user would wish to compare models constructed at various times or stages. One cru...
- Format
- Research paper
- Research format
- Working or discussion paper
- Date created
- 1999-03
- Creator
- Holmes, Geoffrey / Trigg, Leonard E.
- URL
- https://hdl.handle.net/10289/1032
- Related subjects
- computer science / Machine learning
What can I do with this item?
Check copyright status and what you can do with this item
Check informationReport this item
If you believe this item breaches our terms of use please report this item
Report this itemDigitalNZ brings together more than 30 million items from institutions so that they are easy to find and use. This information is the best information we could find on this item. This item was added on 20 April 2012, and updated 24 August 2023.
Learn more about how we work.
Share
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.
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.
What can I do with this item?
Check copyright status and what you can do with this item
Check informationReport this item
If you believe this item breaches our terms of use please report this item
Report this itemDigitalNZ brings together more than 30 million items from institutions so that they are easy to find and use. This information is the best information we could find on this item. This item was added on 20 April 2012, and updated 24 August 2023.
Learn more about how we work.
Share
Related items
Loading...