Visibility: public Uploaded 28-12-2015 by Jan van Rijn Weka_3.7.13 270 runs
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  • study_34 Verified_Learning_Curve,Verified_Supervised_Classification weka weka_3.7.13
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Jens Christian Huehn, Eyke Huellermeier (2009). FURIA: An Algorithm for Unordered Fuzzy Rule Induction. Data Mining and Knowledge Discovery..


-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
DSet whether turn on the debug mode (Default: false)
EWhether NOT check the error rate>=0.5 in stopping criteria (default: check)
FSet number of folds for REP One fold is used as pruning set. (default 3)default: 3
NSet the minimal weights of instances within a split. (default 2.0)default: 2.0
OSet the number of runs of optimizations. (Default: 2)default: 2
SThe seed of randomization (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
pThe T-norm used as fuzzy AND-operator. (default: Product T-norm)default: 0
sThe action performed for uncovered instances. (default: use stretching)default: 0


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