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https://github.com/sjwhitworth/golearn.git
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7ba57fe6df
This patch adds:
* Gini index and information gain ratio as
DecisionTree split options;
* handling for numeric Attributes (split point
chosen naïvely on the basis of maximum entropy);
* A couple of additional utility functions in base/
* A new dataset (see sources.txt) for testing.
Performance on Iris performs markedly without discretisation.
16 lines
165 B
CSV
16 lines
165 B
CSV
Attribute1,Attribute2,Attribute3,Class
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A,70,T,A
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A,90,T,B
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A,85,F,B
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A,95,F,B
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A,70,F,A
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B,90,T,A
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B,78,F,A
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B,65,T,A
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B,75,F,A
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C,80,T,B
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C,70,T,B
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C,80,F,A
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C,80,F,A
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C,96,F,A
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