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Results tagged with random-forest
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user 40582
Random forest is a machine-learning method based on combining the outputs of many decision trees.
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Random Forest Regression Overfitting - Quantile Test on Test Data
"nodesize: Minimum size of terminal nodes. Setting this number larger
causes smaller trees to be grown (and thus take less time).
Note that the default values are different for cl …
- 466
1
vote
Accepted
unbalanced samples random Forests
you probably want
sampsize(c(70,70))
You can also play with class weights which influence the gini impurity function for picking splits. Check out this paper
- 466
4
votes
1
answer
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Trend Analysis of feature importance over time in R
I'm running an experiment on a Streaming Classification Model (an Online Random Forest) that I've created. If that is a completely foreign concept to you here is a presentation I did on it recently: …
- 466
0
votes
Accepted
Trend Analysis of feature importance over time in R
So here's my approach so far... which could definitely be improved upon.
Here is some fake data that represents something like one of the time series signals in my data
data = jitter(c(rep(0, 100), …
- 466