Hi everyone, I'm trying to figure out how the solution to this decision trees question from college makes sense but there's not much explanation and in the notes there are no similar examples either so I'm lost as to where to begin. I'll attach the question/solution to this post. Thanks!
I am new to R and I was reading about conditional decision trees.
In the "party" package there is an option to select number of permutations (nresample=...). However, that is not the case with "partykit".
So does it use permutations, even if it is a constant number and I can't...
Is there any formal literature or generally accepted "Best Practices" for the sample set size needed to build a Boosted regression trees?
I have a client with only 188 records and my only way so far to validate the results is to continuously test different subsample amounts of records and...
Is there a better package than RPART for modelling decision trees in R?
I can generate a decision tree using rpart, but it is only a binary tree. Is there any package that would make for example 3 or 5 splits from one node?
Thanks in advance.
Have made lots of movement in looking at this project...
To construct a clinical medical image scales (10 images in scale)
To construct a 10 point scale using responses from multiple observers
Use scale to find areas of confusion between observers
Say I have a data set of customers with information such as bank account, age, telephone, credit history, emplyoment, etc...
How could when I used RapidMiner, that some attributes are not in the generated decision tree such as telephone or age? What could be the verious reasons for this?
I was wondering if somebody would kindly explain to me the different parameters I can use on a standard decision tree. By parameters I mean the following: Criterion, minimal size for split, minimal leaf size, minimal gain, maximal depth, confidence.
How would I determine what those...
In SAS Enterprise Miner 6.2 it's possible to approximate CHAID and CART methods using Decision Tree node, according to SAS Help, but there is nothing about C4.5 algorithm.
How can I mimic C4.5 algorithm using Decision Tree node?
I would be grateful for any help.