4253
1
rm.operator.parallel_random_forest
1
6.5.002
A RapidMiner Operator
2016-07-15T19:08:26
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.
guess_subset_ratio
true
Indicates that log(m) + 1 features are used, otherwise a ratio has to be specified.
local_random_seed
1992
Specifies the local random seed
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.
number_of_trees
10
The number of learned random trees.
subset_ratio
0.2
Ratio of randomly chosen attributes to test
use_local_random_seed
false
Indicates if a local random seed should be used.