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BotSharp/BotSharp.Algorithm/DecisionTree
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Oceania2018 dbdfb28048 Merge NLP and Algorithm sub project into one solution.
2018-09-03 21:05:57 -05:00
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DataReader.cs Merge NLP and Algorithm sub project into one solution. 2018-09-03 21:05:57 -05:00
NodeAttribute.cs Merge NLP and Algorithm sub project into one solution. 2018-09-03 21:05:57 -05:00
README.rst Merge NLP and Algorithm sub project into one solution. 2018-09-03 21:05:57 -05:00
TrainingData.cs Merge NLP and Algorithm sub project into one solution. 2018-09-03 21:05:57 -05:00
Tree.cs Merge NLP and Algorithm sub project into one solution. 2018-09-03 21:05:57 -05:00
TreeNode.cs Merge NLP and Algorithm sub project into one solution. 2018-09-03 21:05:57 -05:00

README.rst 

The algorithm builds a decision tree from a sample of data. 
The training phase results in a decision trees, which will be used to classify future input data.
Every leaf represents a value of the result class and a non-leaf node represents a decision node.