2151 760 weka.RandomCommittee_RandomTree 4 Weka_3.7.13_11461 Weka implementation of RandomCommittee 2015-12-06T19:09:53 English Weka_3.7.13 -do-not-check-capabilities flag If set, classifier capabilities are not checked before classifier is built (use with caution). B flag Break ties randomly when several attributes look equally good. I option 10 Number of iterations. (default 10) K option Number of attributes to randomly investigate. (default 0) (<0 = int(log_2(#predictors)+1)). M option Set minimum number of instances per leaf. (default 1) N option Number of folds for backfitting (default 0, no backfitting). S option 1 Random number seed. (default 1) U flag Allow unclassified instances. V option Set minimum numeric class variance proportion of train variance for split (default 1e-3). W baselearner weka.classifiers.trees.RandomTree Full name of base classifier. (default: weka.classifiers.trees.RandomTree) depth option The maximum depth of the tree, 0 for unlimited. (default 0) num-decimal-places option The number of decimal places for the output of numbers in the model (default 2). num-slots option 1 Number of execution slots. (default 1 - i.e. no parallelism) (use 0 to auto-detect number of cores) output-debug-info flag If set, classifier is run in debug mode and may output additional info to the console W 1725 1 weka.RandomTree 11 Weka_3.7.13_11970 Weka implementation of RandomTree 2015-11-10T18:00:40 English Weka_3.7.13 -do-not-check-capabilities flag If set, classifier capabilities are not checked before classifier is built (use with caution). B flag Break ties randomly when several attributes look equally good. K option 0 Number of attributes to randomly investigate. (default 0) (<0 = int(log_2(#predictors)+1)). M option 1.0 Set minimum number of instances per leaf. (default 1) N option Number of folds for backfitting (default 0, no backfitting). S option 1 Seed for random number generator. (default 1) U flag Allow unclassified instances. V option 0.001 Set minimum numeric class variance proportion of train variance for split (default 1e-3). depth option The maximum depth of the tree, 0 for unlimited. (default 0) 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 study_34 Verified_Learning_Curve,Verified_Supervised_Classification weka weka_3.7.13 https://api.openml.org/data/download/1681142/weka.classifiers.trees.RandomTree7799941160343055358.class class 4bc61a90054bebba019524b31894f191 Verified_Supervised_Classification weka weka_3.7.13