README.md
In tomis9/decisionTree: Deciosion tree algorithm
decisionTree
decisionTree function performs decision tree algorithm on given data. Algorithm uses entropy as a criterium of division on every node. Works both for qualititative and quantitative variables.
TO DO:
* replace for loops with apply
tomis9/decisionTree documentation built on May 29, 2019, 9:55 a.m.
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decisionTree
decisionTree function performs decision tree algorithm on given data. Algorithm uses entropy as a criterium of division on every node. Works both for qualititative and quantitative variables.
TO DO: * replace for loops with apply
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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