3982
1
weka.AttributeSelectedClassifier_MultiBoostAB_RandomTree
1
Weka_3.7.13_11461
Weka implementation of AttributeSelectedClassifier
2016-06-01T17:39:47
English
Weka_3.7.13
-do-not-check-capabilities
flag
If set, classifier capabilities are not checked before classifier is built
(use with caution).
-doNotMakeSplitPointActualValue
flag
Do not make split point actual value.
A
flag
Laplace smoothing for predicted probabilities.
B
flag
Use binary splits only.
C
option
Set confidence threshold for pruning.
(default 0.25)
D
flag
Output debugging info.
E
option
weka.attributeSelection.CfsSubsetEval -P 1 -E 1
Full class name of attribute evaluator, followed
by its options.
eg: "weka.attributeSelection.CfsSubsetEval -L"
(default weka.attributeSelection.CfsSubsetEval)
J
flag
Do not use MDL correction for info gain on numeric attributes.
L
flag
Do not clean up after the tree has been built.
M
option
Set minimum number of instances per leaf.
(default 2)
N
option
Set number of folds for reduced error
pruning. One fold is used as pruning set.
(default 3)
O
flag
Do not collapse tree.
P
option
The size of the thread pool, for example, the number of cores in the CPU. (default 1)
Q
option
Seed for random data shuffling (default 1).
R
flag
Use reduced error pruning.
S
option
weka.attributeSelection.BestFirst -D 1 -N 5
Full class name of search method, followed
by its options.
eg: "weka.attributeSelection.BestFirst -D 1"
(default weka.attributeSelection.BestFirst)
U
flag
Use unpruned tree.
W
baselearner
weka.classifiers.meta.MultiBoostAB
Full name of base classifier.
(default: weka.classifiers.trees.J48)
Z
flag
Precompute the full correlation matrix at the outset, rather than compute correlations lazily (as needed) during the search. Use this in conjuction with parallel processing in order to speed up a backward search.
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
W
3983
1
weka.MultiBoostAB_RandomTree
3
Weka_3.7.13_8109
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
2016-06-01T17:39:47
English
Weka_3.7.13
-do-not-check-capabilities
flag
If set, classifier capabilities are not checked before classifier is built
(use with caution).
C
option
3
Number of sub-committees. (Default 3)
I
option
10
Number of iterations.
(default 10)
P
option
100
Percentage of weight mass to base training on.
(default 100, reduce to around 90 speed up)
Q
flag
Use resampling for boosting.
S
option
1
Random number seed.
(default 1)
W
baselearner
weka.classifiers.trees.RandomTree
Full name of base classifier.
(default: weka.classifiers.trees.DecisionStump)
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
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
Verified_Supervised_Classification
weka
weka_3.7.13
https://api.openml.org/data/download/1987309/weka.classifiers.meta.AttributeSelectedClassifier7749430259508271365.class
class
3810d67df89dd55d4f00d0243d84d107