839
270
weka.CostSensitiveClassifier_REPTree
1
Weka_3.7.12-SNAPSHOT_10141
Weka implementation of CostSensitiveClassifier
2014-12-02T16:35:42
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).
C
option
File name of a cost matrix to use. If this is not supplied,
a cost matrix will be loaded on demand. The name of the
on-demand file is the relation name of the training data
plus ".cost", and the path to the on-demand file is
specified with the -N option.
M
flag
Minimize expected misclassification cost. Default is to
reweight training instances according to costs per class
N
option
D:\Desktop
Name of a directory to search for cost files when loading
costs on demand (default current directory).
S
option
1
Random number seed.
(default 1)
W
baselearner
weka.classifiers.trees.REPTree
Full name of base classifier.
(default: weka.classifiers.rules.ZeroR)
cost-matrix
option
The cost matrix in Matlab single line format.
output-debug-info
flag
If set, classifier is run in debug mode and
may output additional info to the console
W
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