Synopsis#
Bayesian Classifier Chains (BCC). Creates a maximum spanning tree based on marginal label dependence. Then employs CC. For more information see: Julio H. Zaragoza et al.: Bayesian Chain Classifiers for Multidimensional Classification. In: IJCAI'11: International Joint Conference on Artificial Intelligence., 2011.
BibTeX#
@inproceedings{al.2011,
author = {Julio H. Zaragoza et al.},
booktitle = {IJCAI'11: International Joint Conference on Artificial Intelligence.},
title = {Bayesian Chain Classifiers for Multidimensional Classification},
year = {2011}
}
Options#
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-X <value>
The way to measure dependencies. default: Ibf (frequencies only)
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-S <value>
The seed value for randomizing the data. (default: 0)
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-W <classifier name>
Full name of base classifier. (default: weka.classifiers.trees.J48)
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-output-debug-info
If set, classifier is run in debug mode and may output additional info to the console
-
-do-not-check-capabilities
If set, classifier capabilities are not checked before classifier is built (use with caution).
-
-num-decimal-places
The number of decimal places for the output of numbers in the model (default 2).
-
-batch-size
The desired batch size for batch prediction (default 100).
Options specific to classifier weka.classifiers.trees.J48:
-
-U
Use unpruned tree.
-
-O
Do not collapse tree.
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-C <pruning confidence>
Set confidence threshold for pruning. (default 0.25)
-
-M <minimum number of instances>
Set minimum number of instances per leaf. (default 2)
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-R
Use reduced error pruning.
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-N <number of folds>
Set number of folds for reduced error pruning. One fold is used as pruning set. (default 3)
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-B
Use binary splits only.
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-S
Do not perform subtree raising.
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-L
Do not clean up after the tree has been built.
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-A
Laplace smoothing for predicted probabilities.
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-J
Do not use MDL correction for info gain on numeric attributes.
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-Q <seed>
Seed for random data shuffling (default 1).
-
-doNotMakeSplitPointActualValue
Do not make split point actual value.
-
-output-debug-info
If set, classifier is run in debug mode and may output additional info to the console
-
-do-not-check-capabilities
If set, classifier capabilities are not checked before classifier is built (use with caution).
-
-num-decimal-places
The number of decimal places for the output of numbers in the model (default 2).
-
-batch-size
The desired batch size for batch prediction (default 100).