11
votes
0answers
1k views

Getting Information out of Blackbox Models - RandomForest / XGBoost [duplicate]

I have been working at a new company for around 4 months now as a statistical modeling analyst, and the existing data science manager and modeling analysts are very familiar with regression techniques,...
0
votes
0answers
56 views

How can I “see” the algorithm that my random forest model is using [duplicate]

I'd like to know if, and how, it's possible to actually "see" the algorithm that is powering my random forest model. I find this hard to explain but let me put it this way. The model can spit out a ...
51
votes
3answers
84k views

How to actually plot a sample tree from randomForest::getTree()? [closed]

Anyone got library or code suggestions on how to actually plot a couple of sample trees from: getTree(rfobj, k, labelVar=TRUE) (Yes I know you're not supposed ...
26
votes
1answer
15k views

Relative variable importance for Boosting

I'm looking for an explanation of how relative variable importance is computed in Gradient Boosted Trees that is not overly general/simplistic like: The measures are based on the number of times a ...
7
votes
4answers
10k views

Ideas for outputting a prediction equation for Random Forests

I've read through the following posts that answered the question I was going to ask: Use Random Forest model to make predictions from sensor data Decision tree for output prediction Here's what I'...
8
votes
2answers
9k views

How to make Random Forests more interpretable?

Are there any methods that one could utilize to make Random Forest more interpretable? Random Forest performs much better than CART but it is a lot less interpretable.
5
votes
1answer
9k views

Visualizing C5.0 Decision Tree? [closed]

Is there a direct way to visualize a c5.0 decision tree? Here my code: ...
3
votes
2answers
5k views

WEKA: Visualize combined trees of random forest classifier

I have a small data set consisting of 385 entries and around 200 attributes. Because I want to apply attribute selection and because of the limited size of my data set, I got the advice to use the ...
3
votes
1answer
2k views

randomForest in R for classification

I am trying to use a random forest model in R ...
4
votes
1answer
2k views

Is there a method to plot the output of a random forest in R?

Nice and simple. I've spent two hours googling, reading cross validated, and several r blogs to attempt to find a simple method of outputting the representative tree in R. I was attempting to ...
2
votes
1answer
614 views

Can we make Random Forest 100% interpretable by fixing the seed?

Say I want to "visualize" in some way Random Forest (or make it implementable). All of my points come from the idea of fixing the seeds. Let $z_1$ be the seed in the creation of boostrapped training ...
3
votes
0answers
573 views

Random Forest - how to know if variables affect positively or negatively

I'm running a RandomForest in R on a set of data with many variables. Using varImpPlot() I know how important is each variable ...
2
votes
0answers
417 views

How to detect interactions in a random forest model?

When I fit a regression tree model in R, I can somehow look at the plotted tree to figure out the interactions of the predictors. However, when I fit a random forest model, I cannot plot a tree ...
3
votes
1answer
193 views

Is there a way to explain and generalise the decision made by random forest?

I saw a similar question was asked a few years ago, maybe there are updates on that. I would like to have a way to explain the decisions generated by random forest, possibly in a single tree. I ...
1
vote
1answer
193 views

How to extract a splitting point for numerical values in a random forest model?

I have a dataset including discrete and continuous variables on which I ran a random forest model using the r-package randomForest. I have read several times that ...

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