850
260
weka.Vote_REPTree
1
Weka_3.7.12-SNAPSHOT_10658
Ludmila I. Kuncheva (2004). Combining Pattern Classifiers: Methods and Algorithms. John Wiley and Sons, Inc..
J. Kittler, M. Hatef, Robert P.W. Duin, J. Matas (1998). On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(3):226-239.
2014-12-02T23:15:24
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).
B
kernel
weka.classifiers.trees.REPTree
Full class name of classifier to include, followed
by scheme options. May be specified multiple times.
(default: "weka.classifiers.rules.ZeroR")
P
option
Full path to serialized classifier to include.
May be specified multiple times to include
multiple serialized classifiers. Note: it does
not make sense to use pre-built classifiers in
a cross-validation.
R
option
AVG
The combination rule to use
(default: AVG)
S
option
1
Random number seed.
(default 1)
do-not-print
flag
Suppress the printing of the individual models in the output
output-debug-info
flag
If set, classifier is run in debug mode and
may output additional info to the console
B
379
1
weka.REPTree
5
Weka_3.7.12-SNAPSHOT_10274
Weka implementation of REPTree
2014-08-16T20:12:01
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).
I
option
0.0
Initial class value count (default 0)
L
option
-1
Maximum tree depth (default -1, no maximum)
M
option
2
Set minimum number of instances per leaf (default 2).
N
option
3
Number of folds for reduced error pruning (default 3).
P
flag
No pruning.
R
flag
Spread initial count over all class values (i.e. don't use 1 per value)
S
option
1
Seed for random data shuffling (default 1).
V
option
0.001
Set minimum numeric class variance proportion
of train variance for split (default 1e-3).
output-debug-info
flag
If set, classifier is run in debug mode and
may output additional info to the console
study_2
study_37
Verified_Learning_Curve,Verified_Supervised_Classification
Verified_Supervised_Classification
weka
weka_3.7.12-SNAPSHOT
https://api.openml.org/data/download/256560/weka.classifiers.meta.Vote3317704165443906656.class
class
f00ec7c080408f2b68aae90d17a4fffc