DEVELOPMENT... OpenML
Run
49013

Run 49013

Task 1719 (Learning Curve) mfeat-pixel Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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)_I10
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
0.5614 ± 0.0142
Per class
Build CPU time
0.0058
Build memory
3729760424.2909
F measure
0.1592
Per class
Kappa
0.1228 ± 0.0284
KB relative information score
0.1744 ± 0.0267
Mean absolute error
0.1579 ± 0.0051
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.1988
Per class
Predictive accuracy
0.2105 ± 0.0255
Prior entropy
3.3219
Recall
0.2105 ± 0.0255
Per class
Relative absolute error
0.8772 ± 0.0284
Root mean prior squared error
0.3
Root mean squared error
0.3974 ± 0.0063
Root relative squared error
1.3246 ± 0.0211
SciMark benchmark
1655.4655