Visibility: public Uploaded 05-02-2015 by Jan van Rijn Weka_3.7.12 1200 runs
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  • study_1 study_41 Verified_Learning_Curve,Verified_Supervised_Classification weka weka_3.7.12
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Weka implementation of Ridor


ASet flag of whether use the error rate of all the data to select the default class in each step. If not set, the learner will only use the error rate in the pruning data
FSet number of folds for IREP One fold is used as pruning set. (default 3)default: 3
MSet flag of whether use the majority class as the default class in each step instead of choosing default class based on the error rate (if the flag is not set)
NSet the minimal weights of instances within a split. (default 2.0)default: 2.0
SSet number of shuffles to randomize the data in order to get better rule. (default 1)default: 1


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