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weka.ExtraTree

weka.ExtraTree

Visibility: public Uploaded 20-04-2017 by Lori Burton Weka_3.8.1 0 runs
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Pierre Geurts, Damien Ernst, Louis Wehenkel (2006). Extremely randomized trees. Machine Learning. 63(1):3-42.

Parameters

-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
KNumber of attributes to randomly choose at a node. If values is -1, (m - 1) will be used for regression problems, and Math.rint(sqrt(m - 1)) for classification problems, where m is the number of predictors, as specified in Geurts et al. (default -1).default: -1
NThe minimum number of instances required at a node for splitting to be considered. If value is -1, 5 will be used for regression problems and 2 for classification problems, as specified in Geurts et al. (default -1).default: -1
SRandom number seed. (default 1)default: 1
batch-sizeThe desired batch size for batch prediction (default 100).
num-decimal-placesThe number of decimal places for the output of numbers in the model (default 2).
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the console

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