533
2
weka.Bagging_RandomTree
2
Weka_3.7.12-SNAPSHOT_10470
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2014-08-18T17:43:47
English
Weka_3.7.12-SNAPSHOT
-do-not-check-capabilities
flag
If set, classifier capabilities are not checked before classifier is built
(use with caution).
-represent-copies-using-weights
flag
Represent copies of instances using weights rather than explicitly.
I
option
10
Number of iterations.
(default 10)
L
option
Maximum tree depth (default -1, no maximum)
M
option
Set minimum number of instances per leaf (default 2).
N
option
Number of folds for reduced error pruning (default 3).
O
flag
Calculate the out of bag error.
P
option
100
Size of each bag, as a percentage of the
training set size. (default 100)
R
flag
Spread initial count over all class values (i.e. don't use 1 per value)
S
option
1
Random number seed.
(default 1)
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.REPTree)
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
421
2
weka.RandomTree
2
Weka_3.7.12-SNAPSHOT_11006
Weka implementation of RandomTree
2014-08-18T16:52:23
English
Weka_3.7.12-SNAPSHOT
-do-not-check-capabilities
flag
If set, classifier capabilities are not checked before classifier is built
(use with caution).
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)
output-debug-info
flag
If set, classifier is run in debug mode and
may output additional info to the console
study_2
study_37
Verified_Learning_Curve,Verified_Supervised_Classification
study_2
study_37
Verified_Learning_Curve,Verified_Supervised_Classification
https://api.openml.org/data/download/51627/weka.classifiers.meta.Bagging1269850360557879880.class
class
3d52ba6b5b5403d48c0882b91eb51076