213
2
weka.AdaBoostM1_RandomForest
1
Weka_3.7.10_9186
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2014-06-03T15:22:36
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 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/30459/weka.classifiers.meta.AdaBoostM15538285171229173835.class
class
272d568fd508a52a07f997c15c7dd2a2