1194 2 weka.RandomSubSpace_REPTree 4 Weka_3.7.12_10470 Tin Kam Ho (1998). The Random Subspace Method for Constructing Decision Forests. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(8):832-844. URL http://citeseer.ist.psu.edu/ho98random.html. 2015-02-18T02:43:15 English Weka_3.7.12 -do-not-check-capabilities flag If set, classifier capabilities are not checked before classifier is built (use with caution). I option 10 Number of iterations. (default 10) L option Maximum tree depth (default -1, no maximum) M option Set minimum number of instances per leaf (default 2). N option Number of folds for reduced error pruning (default 3). P option 0.5 Size of each subspace: < 1: percentage of the number of attributes >=1: absolute number of attributes R flag Spread initial count over all class values (i.e. don't use 1 per value) S option 1 Random number seed. (default 1) V option Set minimum numeric class variance proportion of train variance for split (default 1e-3). W baselearner weka.classifiers.trees.REPTree Full name of base classifier. (default: weka.classifiers.trees.REPTree) 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 1077 1 weka.REPTree 9 Weka_3.7.12_10274 Weka implementation of REPTree 2015-02-05T16:23:52 English Weka_3.7.12 -do-not-check-capabilities flag If set, classifier capabilities are not checked before classifier is built (use with caution). I option 0.0 Initial class value count (default 0) L option -1 Maximum tree depth (default -1, no maximum) M option 2 Set minimum number of instances per leaf (default 2). N option 3 Number of folds for reduced error pruning (default 3). P flag No pruning. R flag Spread initial count over all class values (i.e. don't use 1 per value) S option 1 Seed for random data shuffling (default 1). V option 0.001 Set minimum numeric class variance proportion of train variance for split (default 1e-3). output-debug-info flag If set, classifier is run in debug mode and may output additional info to the console study_1 study_41 Verified_Learning_Curve,Verified_Supervised_Classification weka weka_3.7.12 https://api.openml.org/data/download/483083/weka.classifiers.trees.REPTree5277790015730384596.class class 00fba2b75e3337681608e48bc2fe0a81 study_1 study_41 Verified_Learning_Curve,Verified_Supervised_Classification weka weka_3.7.12 https://api.openml.org/data/download/544785/weka.classifiers.meta.RandomSubSpace8854747600859605769.class class 35d7b9b46a88644be206f539abe0dc5a