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weka.Bagging_MultilayerPerceptron

Visibility: public Uploaded 03-06-2014 by Felicia West Weka_3.7.10 117 runs
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.

Components

Full name of base classifier. (default: weka.classifiers.trees.REPTree)

D	If set, classifier is run in debug mode and may output additional info to the console
I	Number of iterations. (default 10)	default: 10
L	Maximum tree depth (default -1, no maximum)
M	Set minimum number of instances per leaf (default 2).
N	Number of folds for reduced error pruning (default 3).
O	Calculate the out of bag error.
P	Size of each bag, as a percentage of the training set size. (default 100)	default: 100
R	Spread initial count over all class values (i.e. don't use 1 per value)
S	Random number seed. (default 1)	default: 1
V	Set minimum numeric class variance proportion of train variance for split (default 1e-3).
W	Full name of base classifier. (default: weka.classifiers.trees.REPTree)	default: weka.classifiers.functions.MultilayerPerceptron
num-slots	Number of execution slots. (default 1 - i.e. no parallelism)	default: 1

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