Visibility: public Uploaded 16-01-2016 by Joaquin Vanschoren Weka_3.7.13 0 runs
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E. T. Frank, X. Xu (2003). Applying propositional learning algorithms to multi-instance data. Department of Computer Science, University of Waikato, Hamilton, NZ.


-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
AThe type of weight setting for each single-instance: 0.keep the weight to be the same as the original value; 1.weight = 1.0 2.weight = 1.0/Total number of single-instance in the corresponding bag 3. weight = Total number of single-instance / (Total number of bags * Total number of single-instance in the corresponding bag). (default: 3)default: 3
PThe method used in testing: 1.arithmetic average 2.geometric average 3.max probability of positive bag. (default: 1)default: 2
WFull name of base classifier. (default: weka.classifiers.rules.ZeroR)default: weka.classifiers.rules.ZeroR
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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