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Reduced Error Pruning tree object
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a0=reptree(hyperParam)
Generates a Reduced Error Pruning wrapper on the WEKA RepTree implementation with given hyperparameters.
Weka Code by Eibe Frank.
Hyperparameters (with defaults)
minleaf Set minimum number of instances per leaf (default 2).
minvar Set minimum numeric class variance proportion of train
variance for split (default 1e-3).
folds Number of folds for reduced error pruning (default 3).
seed Seed for random data shuffling (default 1).
pruning pruning Yes or No (default=0 -- No).
maxdepth Maximum tree depth (default -1, no maximum).
Model
tree -- the tree
feats -- used features
Methods:
train, test, disp
Example:
d=gen(toyreg({'o=1','nonlinear=1'}))
d.Y=(d.X-1).^3;
[r,a]=train(reptree,d);
clf;
plot(d.X,r.Y,'b.'), hold on , plot(d.X,r.X,'r.')