Linked Questions

10
votes
2answers
12k views

How to make Random Forests more interpretable? [duplicate]

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.
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,...
3
votes
1answer
741 views

Random Forests interpretability [duplicate]

I have been using the sklearn RandomForestClassifier to solve a binary classification problem. For a particular sample prediction, I would like to be able to know ...
2
votes
2answers
263 views

How can I represent a randomForest object in a way that “unlocks the black box” in R? [duplicate]

I have a randomForest object in R, and am trying to extract prescriptive insights, as I would with a tree. This is for a binary classification problem. Given this setting, my main question is: How ...
2
votes
0answers
515 views

How to detect interactions in a random forest model? [duplicate]

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 ...
2
votes
0answers
15 views

Random forest visualization Python [duplicate]

For a dataset I ran a random forest model with sikit learn. When I checked important variables from RF , I was unable to understand the reason for choosing that variable as important. In my ...
67
votes
3answers
128k 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 ...
37
votes
1answer
34k 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 ...
19
votes
4answers
3k views

If I want an interpretable model, are there methods other than Linear Regression?

I encountered some statisticians that never use models other than Linear Regression for prediction because they believe that "ML models" such as random forest or gradient boosting are hard to explain ...
8
votes
3answers
13k 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'...
6
votes
1answer
12k views

Visualizing C5.0 Decision Tree? [closed]

Is there a direct way to visualize a c5.0 decision tree? Here my code: ...
6
votes
1answer
6k 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 ...
3
votes
2answers
6k 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 ...
6
votes
2answers
2k 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 ...

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