DEVELOPMENT... OpenML
Run
136837

Run 136837

Task 3724 (Supervised Classification) vinnie 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
0.9034
Per class
Build CPU time
0.1561
Build memory
645827944.8
F measure
0.8526
Per class
Kappa
0.7055
KB relative information score
223.5331
Mean absolute error
0.2155
Mean prior absolute error
0.4997
Number of instances
380
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8538
Per class
Predictive accuracy
0.8526
Prior entropy
0.9995
Recall
0.8526
Per class
Relative absolute error
0.4313
Root mean prior squared error
0.4998
Root mean squared error
0.3478
Root relative squared error
0.6958
SciMark benchmark
939.8609

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