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Results tagged with boosting
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user 64636
A family of algorithms combining weakly predictive models into a strongly predictive model. The most common approach is called gradient boosting, and the most commonly used weak models are classification/regression trees.
3
votes
3
answers
1k
views
GBM: Predict the response variable measured in {0,20}
I need to predict the response that has values in {0,20}. Should it be used as a factor or as a numeric value? How does it influence on the prediction error?
I am using GBM with the Gaussian distribu …
- 305
1
vote
1
answer
3k
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Change settings in the prediction model (caret package) [closed]
"The final values used for the model were n.trees = 300, interaction.depth = 9 and shrinkage = 0.1" How can I manually change these settings in order to make my predictions with different number of boosting …
- 305