DEVELOPMENT... OpenML
Run
136607

Run 136607

Task 2354 (Supervised Classification) meta_ensembles.arff Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_RandomTree(2)_I160
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.5024
Per class
Build CPU time
0.005
Build memory
1317914200
F measure
0.4118
Per class
Kappa
-0.0213
KB relative information score
2.7263
Mean absolute error
0.25
Mean prior absolute error
0.2983
Number of instances
24
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.35
Per class
Predictive accuracy
0.5
Prior entropy
1.5899
Recall
0.5
Per class
Relative absolute error
0.838
Root mean prior squared error
0.3886
Root mean squared error
0.5
Root relative squared error
1.2868
SciMark benchmark
915.3856