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weka.BFTree

weka.BFTree

Visibility: public Uploaded 03-06-2014 by Joaquin Vanschoren Weka_3.7.10 26 runs
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  • Verified_Supervised_Classification
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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

AUse the 1 SE rule to make pruning decision. (default no).
CPercentage of training data size (0-1] (default 1).default: true
DIf set, classifier is run in debug mode and may output additional info to the console
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

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