3982 1 weka.AttributeSelectedClassifier_MultiBoostAB_RandomTree 1 Weka_3.7.13_11461 Weka implementation of AttributeSelectedClassifier 2016-06-01T17:39:47 English Weka_3.7.13 -do-not-check-capabilities flag If set, classifier capabilities are not checked before classifier is built (use with caution). -doNotMakeSplitPointActualValue flag Do not make split point actual value. A flag Laplace smoothing for predicted probabilities. B flag Use binary splits only. C option Set confidence threshold for pruning. (default 0.25) D flag Output debugging info. E option weka.attributeSelection.CfsSubsetEval -P 1 -E 1 Full class name of attribute evaluator, followed by its options. eg: "weka.attributeSelection.CfsSubsetEval -L" (default weka.attributeSelection.CfsSubsetEval) J flag Do not use MDL correction for info gain on numeric attributes. L flag Do not clean up after the tree has been built. M option Set minimum number of instances per leaf. (default 2) N option Set number of folds for reduced error pruning. One fold is used as pruning set. (default 3) O flag Do not collapse tree. P option The size of the thread pool, for example, the number of cores in the CPU. (default 1) Q option Seed for random data shuffling (default 1). R flag Use reduced error pruning. S option weka.attributeSelection.BestFirst -D 1 -N 5 Full class name of search method, followed by its options. eg: "weka.attributeSelection.BestFirst -D 1" (default weka.attributeSelection.BestFirst) U flag Use unpruned tree. W baselearner weka.classifiers.meta.MultiBoostAB Full name of base classifier. (default: weka.classifiers.trees.J48) Z flag Precompute the full correlation matrix at the outset, rather than compute correlations lazily (as needed) during the search. Use this in conjuction with parallel processing in order to speed up a backward search. 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 W 3983 1 weka.MultiBoostAB_RandomTree 3 Weka_3.7.13_8109 Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2). 2016-06-01T17:39:47 English Weka_3.7.13 -do-not-check-capabilities flag If set, classifier capabilities are not checked before classifier is built (use with caution). C option 3 Number of sub-committees. (Default 3) I option 10 Number of iterations. (default 10) P option 100 Percentage of weight mass to base training on. (default 100, reduce to around 90 speed up) Q flag Use resampling for boosting. S option 1 Random number seed. (default 1) W baselearner weka.classifiers.trees.RandomTree Full name of base classifier. (default: weka.classifiers.trees.DecisionStump) 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 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 Verified_Supervised_Classification weka weka_3.7.13 https://api.openml.org/data/download/1987309/weka.classifiers.meta.AttributeSelectedClassifier7749430259508271365.class class 3810d67df89dd55d4f00d0243d84d107