Flow
weka.MultiBoostAB_RandomTree

weka.MultiBoostAB_RandomTree

Visibility: public Uploaded 07-10-2014 by Joaquin Vanschoren Weka_3.7.12-SNAPSHOT 84 runs
0 likes downloaded by 2 people 0 issues 0 downvotes , 2 total downloads
  • study_2 study_37 Verified_Learning_Curve,Verified_Supervised_Classification
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).

Components

Wweka.RandomTree(2)Full name of base classifier. (default: weka.classifiers.trees.DecisionStump)

Parameters

-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
CNumber of sub-committees. (Default 3)default: 3
INumber of iterations. (default 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.
SRandom number seed. (default 1)default: 1
WFull name of base classifier. (default: weka.classifiers.trees.DecisionStump)default: weka.classifiers.trees.RandomTree
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the console

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table