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weka.ClassificationViaRegression_SimpleLogistic

Visibility: public Uploaded 21-04-2017 by Montgomery Weka_3.8.1 0 runs
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E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.

Components

Full name of base classifier. (default: weka.classifiers.trees.M5P)

-do-not-check-capabilities	If set, classifier capabilities are not checked before classifier is built (use with caution).
L	Save instances at the nodes in the tree (for visualization purposes)
M	Set minimum number of instances per leaf (default 4)
N	Use unpruned tree/rules
R	Build regression tree/rule rather than a model tree/rule
U	Use unsmoothed predictions
W	Full name of base classifier. (default: weka.classifiers.trees.M5P)	default: weka.classifiers.functions.SimpleLogistic
batch-size	The desired batch size for batch prediction (default 100).
num-decimal-places	The number of decimal places for the output of numbers in the model (default 2).
output-debug-info	If set, classifier is run in debug mode and may output additional info to the console

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