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Random Forest Decision Tree by L.Breiman [WEKA Required]
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Original WEKA Code from Richard Kirkby
Please see WEKA: http://www.cs.waikato.ac.nz/ml/weka/
Generates a random forest wrapper on the WEKA Random Forest implementation with given hyperparameters.
Hyperparameters (with defaults)
numoftrees=10 -- set to number of trees
numoffeatures=0 -- number of features considered. 0 means use all, -1
use only log Nmax features (Nmax equals input dimension)
seed=0 -- used seed
Model
tree -- the tree
Methods:
train, test, plot
Example:
d=gen(toy2d('2circles','l=200'));
r0=randomforest;
[cr,ca]=train(cv(r0),d); loss(cr), pause
[r,a]=train(s0,d);
disp('probability output'), plot(a,d), pause,