181
2
weka.Bagging_LWL_DecisionStump
1
Weka_3.7.10_9785
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2014-06-03T15:06:12
English
Weka_3.7.10
D
flag
If set, classifier is run in debug mode and
may output additional info to the console
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-slots
option
1
Number of execution slots.
(default 1 - i.e. no parallelism)
W
131
2
weka.LWL_DecisionStump
1
Weka_3.7.10_8034
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..
2014-05-15T00:21:38
English
Weka_3.7.10
A
flag
true
The nearest neighbour search algorithm to use (default: weka.core.neighboursearch.LinearNNSearch).
D
flag
If set, classifier is run in debug mode and
may output additional info to the console
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)
W
62
1
weka.DecisionStump
1
Weka_3.7.10_9171
Weka implementation of DecisionStump
2014-04-04T14:39:21
English
Weka_3.7.10
D
flag
If set, classifier is run in debug mode and
may output additional info to the console
Verified_Learning_Curve,Verified_Supervised_Classification
Verified_Supervised_Classification
https://api.openml.org/data/download/12675/weka.classifiers.lazy.LWL7434740444994289176.class
class
5e16fca6848541d29e9c92ff1acf5198
Verified_Supervised_Classification
https://api.openml.org/data/download/30177/weka.classifiers.meta.Bagging6824954095231533636.class
class
0650bee732b532494db7be64c1f26659