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weka.classifiers.trees.RandomTree
weka.classifiers.trees.RandomTree
1
Weka_3.9.5_15519
Weka implementation.
2021-06-08T15:43:46
English
Weka_3.9.5
-do-not-check-capabilities
flag
["false"]
If set, classifier capabilities are not checked before classifier is built
(use with caution).
B
flag
["false"]
Break ties randomly when several attributes look equally good.
K
option
["0"]
Number of attributes to randomly investigate. (default 0)
(<1 = 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
["false"]
Allow unclassified instances.
V
option
["0.001"]
Set minimum numeric class variance proportion
of train variance for split (default 1e-3).
batch-size
option
[]
The desired batch size for batch prediction (default 100).
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
["false"]
If set, classifier is run in debug mode and
may output additional info to the console
weka
weka_3.9.5