1194
2
weka.RandomSubSpace_REPTree
4
Weka_3.7.12_10470
Tin Kam Ho (1998). The Random Subspace Method for Constructing Decision Forests. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(8):832-844. URL http://citeseer.ist.psu.edu/ho98random.html.
2015-02-18T02:43:15
English
Weka_3.7.12
-do-not-check-capabilities
flag
If set, classifier capabilities are not checked before classifier is built
(use with caution).
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).
P
option
0.5
Size of each subspace:
< 1: percentage of the number of attributes
>=1: absolute number of attributes
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.REPTree
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
1077
1
weka.REPTree
9
Weka_3.7.12_10274
Weka implementation of REPTree
2015-02-05T16:23:52
English
Weka_3.7.12
-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_1
study_41
Verified_Learning_Curve,Verified_Supervised_Classification
weka
weka_3.7.12
https://api.openml.org/data/download/483083/weka.classifiers.trees.REPTree5277790015730384596.class
class
00fba2b75e3337681608e48bc2fe0a81
study_1
study_41
Verified_Learning_Curve,Verified_Supervised_Classification
weka
weka_3.7.12
https://api.openml.org/data/download/544785/weka.classifiers.meta.RandomSubSpace8854747600859605769.class
class
35d7b9b46a88644be206f539abe0dc5a