184
2
weka.MultiBoostAB_RandomForest
1
Weka_3.7.10_8109
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
2014-06-03T15:06:29
English
Weka_3.7.10
C
option
3
Number of sub-committees. (Default 3)
D
flag
If set, classifier is run in debug mode and
may output additional info to the console
I
option
10
Number of iterations.
(default 10)
P
option
100
Percentage of weight mass to base training on.
(default 100, reduce to around 90 speed up)
Q
flag
Use resampling for boosting.
S
option
1
Random number seed.
(default 1)
W
baselearner
weka.classifiers.trees.RandomForest
Full name of base classifier.
(default: weka.classifiers.trees.DecisionStump)
W
65
1
weka.RandomForest
1
Weka_3.7.10_9186
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
2014-04-04T14:39:31
English
Weka_3.7.10
D
flag
If set, classifier is run in debug mode and
may output additional info to the console
I
option
10
Number of trees to build.
K
option
0
Number of features to consider (<1=int(logM+1)).
S
option
1
Seed for random number generator.
(default 1)
depth
option
The maximum depth of the trees, 0 for unlimited.
(default 0)
num-slots
option
1
Number of execution slots.
(default 1 - i.e. no parallelism)
print
flag
Print the individual trees in the output
Verified_Learning_Curve,Verified_Supervised_Classification
Verified_Supervised_Classification
https://api.openml.org/data/download/30210/weka.classifiers.meta.MultiBoostAB6078148589101949352.class
class
ad2a381e81aa8a5e7013df93dc41794c