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weka.BFTree

weka.BFTree

Visibility: public Uploaded 28-12-2015 by Jan van Rijn Weka_3.7.13 236 runs
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  • Verified_Learning_Curve,Verified_Supervised_Classification weka weka_3.7.13
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Haijian Shi (2007). Best-first decision tree learning. Hamilton, NZ. Jerome Friedman, Trevor Hastie, Robert Tibshirani (2000). Additive logistic regression : A statistical view of boosting. Annals of statistics. 28(2):337-407.

Parameters

-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
AUse the 1 SE rule to make pruning decision. (default no).
CPercentage of training data size (0-1] (default 1).default: true
GDon't use Gini index for splitting (default yes), if not information is used.
HDon't use heuristic search for nominal attributes in multi-class problem (default yes).
MThe minimal number of instances at the terminal nodes. (default 2)default: 2
NThe number of folds used in the pruning. (default 5)default: 5
PThe pruning strategy. (default: POSTPRUNED)default: POSTPRUNED
RDon't use error rate in internal cross-validation (default yes), but root mean squared error.
SRandom number seed. (default 1)default: 1
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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