Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/kfields/decision-tree-workshop
Automatically exported from code.google.com/p/decision-tree-workshop
https://github.com/kfields/decision-tree-workshop
Last synced: 3 days ago
JSON representation
Automatically exported from code.google.com/p/decision-tree-workshop
- Host: GitHub
- URL: https://github.com/kfields/decision-tree-workshop
- Owner: kfields
- License: mit
- Created: 2015-06-13T09:42:01.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2021-11-13T22:10:56.000Z (about 3 years ago)
- Last Synced: 2023-04-04T15:53:22.051Z (over 1 year ago)
- Language: C#
- Size: 2.12 MB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Decision Tree Workshop - Kurtis Fields, 2012
Graphical Decision Tree Demo in C# using Linq.
## Directions:
Select 'Open File' from the toolbar or file menu.
Navigate to the Data Directory.
Select and open the .TXT file you want to open. (weather.TXT, purchase.TXT, labor.TXT, and iris.TXT are good to start with.)
Next select the 'Build' tab.
Click the green down arrow to start building the tree. (Red X to cancel the build)
Switch to the 'Graph' tab and use the slider to zoom in and out.## Credits:
ID3 code adapted from the article by Christopher Roach at http://onlamp.com/pub/a/python/2006/02/09/ai_decision_trees.html
TreeVisualization from http://www.codeproject.com/Articles/29518/A-Graph-Tree-Drawing-Control-for-WPF