841
265
weka.Bagging_BayesNet_K2
1
Weka_3.7.12-SNAPSHOT_10470
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2014-12-02T18:49:23
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).
-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.bayes.BayesNet
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
842
265
weka.BayesNet_K2
3
Weka_3.7.12-SNAPSHOT_10386
Weka implementation of BayesNet
2014-12-02T18:49:23
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).
A
option
Initial count (alpha)
B
option
BIF file to compare with
D
flag
true
Do not use ADTree data structure
E
option
Estimator algorithm
N
flag
Initial structure is empty (instead of Naive Bayes)
P
option
Maximum number of parents
Q
baselearner
weka.classifiers.bayes.net.search.local.K2
Search algorithm
R
flag
Random order.
(default false)
S
option
Score type (BAYES, BDeu, MDL, ENTROPY and AIC)
mbc
flag
Applies a Markov Blanket correction to the network structure,
after a network structure is learned. This ensures that all
nodes in the network are part of the Markov blanket of the
classifier node.
output-debug-info
flag
If set, classifier is run in debug mode and
may output additional info to the console
Q
843
265
weka.K2
3
Weka_3.7.12-SNAPSHOT_11247
G.F. Cooper, E. Herskovits (1990). A Bayesian method for constructing Bayesian belief networks from databases.
G. Cooper, E. Herskovits (1992). A Bayesian method for the induction of probabilistic networks from data. Machine Learning. 9(4):309-347.
2014-12-02T18:49:23
English
Weka_3.7.12-SNAPSHOT
N
flag
Initial structure is empty (instead of Naive Bayes)
P
option
1
Maximum number of parents
R
flag
Random order.
(default false)
S
option
BAYES
Score type (BAYES, BDeu, MDL, ENTROPY and AIC)
mbc
flag
Applies a Markov Blanket correction to the network structure,
after a network structure is learned. This ensures that all
nodes in the network are part of the Markov blanket of the
classifier node.
weka
weka_3.7.12-SNAPSHOT
weka
weka_3.7.12-SNAPSHOT
Verified_Supervised_Classification
weka
weka_3.7.12-SNAPSHOT
https://api.openml.org/data/download/250255/weka.classifiers.meta.Bagging2484757388519104451.class
class
836bceda0997672a5a891ddc13120cf3