184 2 weka.MultiBoostAB_RandomForest 1 Weka_3.7.10_8109 Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2). 2014-06-03T15:06:29 English Weka_3.7.10 C option 3 Number of sub-committees. (Default 3) D flag If set, classifier is run in debug mode and may output additional info to the console 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.RandomForest Full name of base classifier. (default: weka.classifiers.trees.DecisionStump) W 65 1 weka.RandomForest 1 Weka_3.7.10_9186 Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32. 2014-04-04T14:39:31 English Weka_3.7.10 D flag If set, classifier is run in debug mode and may output additional info to the console I option 10 Number of trees to build. K option 0 Number of features to consider (<1=int(logM+1)). S option 1 Seed for random number generator. (default 1) depth option The maximum depth of the trees, 0 for unlimited. (default 0) num-slots option 1 Number of execution slots. (default 1 - i.e. no parallelism) print flag Print the individual trees in the output Verified_Learning_Curve,Verified_Supervised_Classification Verified_Supervised_Classification https://api.openml.org/data/download/30210/weka.classifiers.meta.MultiBoostAB6078148589101949352.class class ad2a381e81aa8a5e7013df93dc41794c