850 260 weka.Vote_REPTree 1 Weka_3.7.12-SNAPSHOT_10658 Ludmila I. Kuncheva (2004). Combining Pattern Classifiers: Methods and Algorithms. John Wiley and Sons, Inc.. J. Kittler, M. Hatef, Robert P.W. Duin, J. Matas (1998). On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(3):226-239. 2014-12-02T23:15:24 English Weka_3.7.12-SNAPSHOT -do-not-check-capabilities flag If set, classifier capabilities are not checked before classifier is built (use with caution). B kernel weka.classifiers.trees.REPTree Full class name of classifier to include, followed by scheme options. May be specified multiple times. (default: "weka.classifiers.rules.ZeroR") P option Full path to serialized classifier to include. May be specified multiple times to include multiple serialized classifiers. Note: it does not make sense to use pre-built classifiers in a cross-validation. R option AVG The combination rule to use (default: AVG) S option 1 Random number seed. (default 1) do-not-print flag Suppress the printing of the individual models in the output output-debug-info flag If set, classifier is run in debug mode and may output additional info to the console B 379 1 weka.REPTree 5 Weka_3.7.12-SNAPSHOT_10274 Weka implementation of REPTree 2014-08-16T20:12:01 English Weka_3.7.12-SNAPSHOT -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_2 study_37 Verified_Learning_Curve,Verified_Supervised_Classification Verified_Supervised_Classification weka weka_3.7.12-SNAPSHOT https://api.openml.org/data/download/256560/weka.classifiers.meta.Vote3317704165443906656.class class f00ec7c080408f2b68aae90d17a4fffc