2151
760
weka.RandomCommittee_RandomTree
4
Weka_3.7.13_11461
Weka implementation of RandomCommittee
2015-12-06T19:09:53
English
Weka_3.7.13
-do-not-check-capabilities
flag
If set, classifier capabilities are not checked before classifier is built
(use with caution).
B
flag
Break ties randomly when several attributes look equally good.
I
option
10
Number of iterations.
(default 10)
K
option
Number of attributes to randomly investigate. (default 0)
(<0 = int(log_2(#predictors)+1)).
M
option
Set minimum number of instances per leaf.
(default 1)
N
option
Number of folds for backfitting (default 0, no backfitting).
S
option
1
Random number seed.
(default 1)
U
flag
Allow unclassified instances.
V
option
Set minimum numeric class variance proportion
of train variance for split (default 1e-3).
W
baselearner
weka.classifiers.trees.RandomTree
Full name of base classifier.
(default: weka.classifiers.trees.RandomTree)
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).
num-slots
option
1
Number of execution slots.
(default 1 - i.e. no parallelism)
(use 0 to auto-detect number of cores)
output-debug-info
flag
If set, classifier is run in debug mode and
may output additional info to the console
W
1725
1
weka.RandomTree
11
Weka_3.7.13_11970
Weka implementation of RandomTree
2015-11-10T18:00:40
English
Weka_3.7.13
-do-not-check-capabilities
flag
If set, classifier capabilities are not checked before classifier is built
(use with caution).
B
flag
Break ties randomly when several attributes look equally good.
K
option
0
Number of attributes to randomly investigate. (default 0)
(<0 = 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
Allow unclassified instances.
V
option
0.001
Set minimum numeric class variance proportion
of train variance for split (default 1e-3).
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
If set, classifier is run in debug mode and
may output additional info to the console
study_34
Verified_Learning_Curve,Verified_Supervised_Classification
weka
weka_3.7.13
https://api.openml.org/data/download/1681142/weka.classifiers.trees.RandomTree7799941160343055358.class
class
4bc61a90054bebba019524b31894f191
Verified_Supervised_Classification
weka
weka_3.7.13