2258
1
weka.FURIA
2
Weka_3.7.13_undefined
Jens Christian Huehn, Eyke Huellermeier (2009). FURIA: An Algorithm for Unordered Fuzzy Rule Induction. Data Mining and Knowledge Discovery..
2015-12-28T14:06:51
English
Weka_3.7.13
-do-not-check-capabilities
flag
If set, classifier capabilities are not checked before classifier is built
(use with caution).
D
flag
Set whether turn on the
debug mode (Default: false)
E
flag
Whether NOT check the error rate>=0.5
in stopping criteria (default: check)
F
option
3
Set number of folds for REP
One fold is used as pruning set.
(default 3)
N
option
2.0
Set the minimal weights of instances
within a split.
(default 2.0)
O
option
2
Set the number of runs of
optimizations. (Default: 2)
S
option
1
The seed of randomization
(Default: 1)
num-decimal-places
option
The number of decimal places for the output of numbers in the model (default 2).
output-debug-info
flag
If set, classifier is run in debug mode and
may output additional info to the console
p
option
0
The T-norm used as fuzzy AND-operator.
(default: Product T-norm)
s
option
0
The action performed for uncovered instances.
(default: use stretching)
study_34
Verified_Learning_Curve,Verified_Supervised_Classification
weka
weka_3.7.13
https://api.openml.org/data/download/1750046/weka.classifiers.rules.FURIA7006871728292177709.class
class
98654ce3aec9bdde4f90619c0db121ba