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Decision Trees – Why Are They Useful and How to Create Them
- hackaflocka 11y ago"Rattle" by Togaware seems a very easy to use Data Mining GUI for R. It includes Decision Trees. However, I've found tutorials (for Rattle) hard to come by. If anyone wants to add their favorite tutorials here, please do so... it'll turn this page into a nice resource.
- vkb 11y agoAgree. I've done a lot of decision trees in R lately and the two packages I've seen with the "most" documentation are rattle and rpart. I've found rpart much easier to use and understand, and it has pretty involved documentation. [1] [1]http://cran.r-project.org/web/packages/rpart/vignettes/longintro.pdf http://cran.r-project.org/web/packages/rpart/vignettes/longi...
- hackaflocka 11y agoDoes rpart have a GUI module?
- vkb 11y agoYup, you can run printcp, plotcp, and fancyRpartPlot on it to make it look nice.
- amelius 11y agoI remember this game written in the "logo" language that could guess the animal you were thinking of, by guiding the user through a decision tree; and it also allowed the user to grow the tree when it failed at guessing.
- louden 11y agoTree based methods, such as Random Forests, provide some nice properties at the expense of interpretability. Trees by themselves tend to be fairly variable.
- brendamorgan 11y agoThank you for your inputs. I will be providing with forests article on the same