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weka.classifiers.meta.AdaBoostM1(weka.classifiers.meta.Bagging(weka.classifiers.trees.REPTree))_79dce145-e0c3-47da-89ec-7ed80cb930b8

weka.classifiers.meta.AdaBoostM1(weka.classifiers.meta.Bagging(weka.classifiers.trees.REPTree))_79dce145-e0c3-47da-89ec-7ed80cb930b8

Visibility: public Uploaded 18-10-2024 by Jan van Rijn Weka_3.9.6 0 runs
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Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.

Parameters

-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).default: ["false"]
INumber of iterations. (current value 10)default: ["10"]
PPercentage of weight mass to base training on. (default 100, reduce to around 90 speed up)default: ["100"]
QUse resampling for boosting.default: ["false"]
SRandom number seed. (default 1)default: ["1"]
WFull name of base classifier. (default: weka.classifiers.trees.DecisionStump)default: ["weka.classifiers.meta.Bagging"]
batch-sizeThe desired batch size for batch prediction (default 100).default: []
num-decimal-placesThe number of decimal places for the output of numbers in the model (default 2).default: []
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the consoledefault: ["false"]
resumeSet whether classifier can continue training after performing therequested number of iterations. Note that setting this to true will retain certain data structures which can increase the size of the model.default: ["false"]

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