Tagged Questions
1
vote
0answers
185 views
Simulating C4.5 algorithm using Decision Tree node in SAS Enterprise Miner 6.2.
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 ...
1
vote
0answers
349 views
SAS optimal binning
In SAS enterprise miner we have the optimal binning feature which allows you to transform continuous variables into an ordered set of bins. The binning, as I read from one of their docs, is done so ...
2
votes
0answers
182 views
How to calculate fitted values when using AdaBoost via gbm package in R? What does fitted values mean?
I poseted this question about two weeks ago. But it was closed because I cross-posted here and on SO. So I deleted the post on SO and re-post here. My question is as below.
First of all I'm not ...
1
vote
0answers
250 views
How to calculate fitted values when using AdaBoost via gbm package in R? [closed]
First of all I'm not good at English. So please be patient to interpret my words. I really need your help.
I used the R package GBM as probably my predictive modeling. I made a model with adaboost ...
0
votes
1answer
331 views
lift/uplift/netlift modeling: CART analysis maximizing a t-statistic from a multivariate regression
For tree based modeling most packages use some data element as the dependent variable. In uplift modeling the goal is to maximize the difference between treatment and control groups.
One way to ...
4
votes
2answers
550 views
Interactive decision trees
I was wondering if there is a free tool to build a decision tree in interactive fashion like in SAS Enterprise Mining. I'm used to work with Weka. But nothing fits to my needs. I would like that ...
