DEVELOPMENT... OpenML
Run
128791

Run 128791

Task 2079 (Supervised Classification) eucalyptus Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I20
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.7667
Per class
Build CPU time
0.0072
Build memory
1395963108.1522
F measure
0.5877
Per class
Kappa
0.4655
KB relative information score
116.0299
Mean absolute error
0.2888
Mean prior absolute error
0.3132
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6211
Per class
Predictive accuracy
0.5788
Prior entropy
2.2629
Recall
0.5788
Per class
Relative absolute error
0.922
Root mean prior squared error
0.3957
Root mean squared error
0.3823
Root relative squared error
0.9662
SciMark benchmark
909.5718

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