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