2258 1 weka.FURIA 2 Weka_3.7.13_undefined Jens Christian Huehn, Eyke Huellermeier (2009). FURIA: An Algorithm for Unordered Fuzzy Rule Induction. Data Mining and Knowledge Discovery.. 2015-12-28T14:06:51 English Weka_3.7.13 -do-not-check-capabilities flag If set, classifier capabilities are not checked before classifier is built (use with caution). D flag Set whether turn on the debug mode (Default: false) E flag Whether NOT check the error rate>=0.5 in stopping criteria (default: check) F option 3 Set number of folds for REP One fold is used as pruning set. (default 3) N option 2.0 Set the minimal weights of instances within a split. (default 2.0) O option 2 Set the number of runs of optimizations. (Default: 2) S option 1 The seed of randomization (Default: 1) num-decimal-places option The number of decimal places for the output of numbers in the model (default 2). output-debug-info flag If set, classifier is run in debug mode and may output additional info to the console p option 0 The T-norm used as fuzzy AND-operator. (default: Product T-norm) s option 0 The action performed for uncovered instances. (default: use stretching) study_34 Verified_Learning_Curve,Verified_Supervised_Classification weka weka_3.7.13 https://api.openml.org/data/download/1750046/weka.classifiers.rules.FURIA7006871728292177709.class class 98654ce3aec9bdde4f90619c0db121ba