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CSP
Consistency for CSPs
Hill
SLS for CSPs
Deduction
Deduction
Bayes
Belief Networks
DTree
Decision Trees
Neural
Neural
STRIPS to CSP
STRIPS to CSP
dTree
Decision Trees
version 4.4.0
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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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This tool was written by Kevin O'Neill, Shinjiro Sueda, Wesley Coelho, Oxana Chakoula, Nicole Arksey, Kyle Porter, and Byron Knoll, with help from David Poole, Alan Mackworth, Holger Hoos, Peter Gorniak, Giuseppe Carenini, and Cristina Conati.

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