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Authors:
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Nicole Arksey
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Shinjiro Sueda
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Peter Gorniak
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AIspace Group
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Kyle Porter
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Holger Hoos
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Oxana Chakoula
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Bryon Knoll
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Alan Macworth
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Giuseppe Carenini
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Kevin O'Neill
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David Poole
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Wesley Coelho
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| Description: |
Learning is the ability to improve one's behaviour based on experience and represents an essential element of computational intelligence. Decision trees are a simple yet successful technique for supervised classification learning. This tool demonstrates how to build a decision tree using a training data set and then use the tree to classify unseen examples in a test data set. |
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| Keywords: |
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computation intelligence, artificial intelligence, decision trees, classification learning
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Browse in Categories:
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| More information about this material: |
Primary Audience:
Professional,
College General Ed
Mobile Compatibility:
Not specified at this time
Technical Requirements: Sun Java Web Start
Language:
English
Material Version: 4.3.8
Cost Involved:
no
Source Code Available:
unsure
Accessiblity Information Available:
unsure
Copyright:
no
Creative Commons:
This work is licensed under a
Attribution-NonCommercial-NoDerivs 3.0 United States
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