156
2
weka.Bagging_J48
1
Weka_3.7.10_9785
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2014-06-03T14:58:09
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.trees.J48
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
60
1
weka.J48
1
Weka_3.7.10_9117
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
2014-04-04T14:39:13
English
Weka_3.7.10
A
flag
Laplace smoothing for predicted probabilities.
B
flag
Use binary splits only.
C
option
0.25
Set confidence threshold for pruning.
(default 0.25)
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
2
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.
Q
option
Seed for random data shuffling (default 1).
R
flag
Use reduced error pruning.
S
flag
Don't perform subtree raising.
U
flag
Use unpruned tree.
Verified_Learning_Curve,Verified_Supervised_Classification
Verified_Supervised_Classification
https://api.openml.org/data/download/30060/weka.classifiers.meta.Bagging5034035441320577017.class
class
0650bee732b532494db7be64c1f26659