golearn/examples/datasets/c45-numeric.csv

Attribute1,Attribute2,Attribute3,Class
A,70,T,A
A,90,T,B
A,85,F,B
A,95,F,B
A,70,F,A
B,90,T,A
B,78,F,A
B,65,T,A
B,75,F,A
C,80,T,B
C,70,T,B
C,80,F,A
C,80,F,A
C,96,F,A
trees: Handling FloatAttributes. 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. 2014-10-26 12:07:38 +00:00			`Attribute1,Attribute2,Attribute3,Class`
			`A,70,T,A`
			`A,90,T,B`
			`A,85,F,B`
			`A,95,F,B`
			`A,70,F,A`
			`B,90,T,A`
			`B,78,F,A`
			`B,65,T,A`
			`B,75,F,A`
			`C,80,T,B`
			`C,70,T,B`
			`C,80,F,A`
			`C,80,F,A`
			`C,96,F,A`