3934
1
weka.Bagging_LWL_DecisionStump
3
Weka_3.7.13_11465
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2016-06-01T13:46:11
English
Weka_3.7.13
-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.lazy.LWL
Full name of base classifier.
(default: weka.classifiers.trees.REPTree)
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
3935
1
weka.LWL_DecisionStump
4
Weka_3.7.13_10141
Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003.
C. Atkeson, A. Moore, S. Schaal (1996). Locally weighted learning. AI Review..
2016-06-01T13:46:11
English
Weka_3.7.13
-do-not-check-capabilities
flag
If set, classifier capabilities are not checked before classifier is built
(use with caution).
A
flag
true
The nearest neighbour search algorithm to use (default: weka.core.neighboursearch.LinearNNSearch).
K
option
-1
Set the number of neighbours used to set the kernel bandwidth.
(default all)
U
option
0
Set the weighting kernel shape to use. 0=Linear, 1=Epanechnikov,
2=Tricube, 3=Inverse, 4=Gaussian.
(default 0 = Linear)
W
baselearner
weka.classifiers.trees.DecisionStump
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
1729
1
weka.DecisionStump
5
Weka_3.7.13_9171
Weka implementation of DecisionStump
2015-11-10T18:00:46
English
Weka_3.7.13
-do-not-check-capabilities
flag
If set, classifier capabilities are not checked before classifier is built
(use with caution).
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
Verified_Learning_Curve,Verified_Supervised_Classification
weka
weka_3.7.13
https://api.openml.org/data/download/1681162/weka.classifiers.trees.DecisionStump3426834636056908242.class
class
6047fe1f7477025042b874fe6cc23482
Verified_Supervised_Classification
weka
weka_3.7.13
Verified_Supervised_Classification
weka
weka_3.7.13