4259 1 rm.process.bayesian_boosting_parallel_decision_tree 1 d7b76e23eb751f394d4b6c93e9739512 A RapidMiner Workflow. 2016-07-15T19:22:33 English RapidMiner_6.4.0 sub 4260 1 rm.operator.bayesian_boosting 1 6.5.002 A RapidMiner Operator 2016-07-15T19:22:33 English RapidMiner_6.4.0 allow_marginal_skews true Allow to skew the marginal distribution (P(x)) during learning. iterations 10 The maximum number of iterations. local_random_seed 1992 Specifies the local random seed rescale_label_priors false Specifies whether the proportion of labels should be equal by construction after first iteration . use_local_random_seed false Indicates if a local random seed should be used. use_subset_for_training 1.0 Fraction of examples used for training, remaining ones are used to estimate the confusion matrix. Set to 1 to turn off test set. sub 2523 1 rm.operator.parallel_decision_tree 3 6.5.002 A RapidMiner Operator 2016-01-20T10:39:55 English RapidMiner_6.4.0 apply_prepruning true Activates the pre pruning and delivers a prepruned tree. apply_pruning true Activates the pruning of the tree. confidence 0.25 The confidence level used for the pessimistic error calculation of pruning. criterion gain_ratio Specifies the used criterion for selecting attributes and numerical splits. maximal_depth 20 The maximum tree depth (-1: no bound) minimal_gain 0.1 The minimal gain which must be achieved in order to produce a split. minimal_leaf_size 2 The minimal size of all leaves. minimal_size_for_split 4 The minimal size of a node in order to allow a split. number_of_prepruning_alternatives 3 The number of alternative nodes tried when prepruning would prevent a split. Verified_Supervised_Classification https://api.openml.org/data/download/3571778/rm.process.bayesian_boosting_parallel_decision_tree_d7b76e23eb751f394d4b6c93e97395123574557151950920627.xml xml d7b76e23eb751f394d4b6c93e9739512