DEVELOPMENT... OpenML
Run
48827

Run 48827

Task 1713 (Learning Curve) mfeat-fourier 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.DecisionStump(2)Weka implementation of DecisionStump

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.

19 Evaluation measures

Area under ROC curve
0.7177 ± 0.0088
Per class
Build CPU time
0.0116
Build memory
2893474267.5636
Kappa
0.1067 ± 0.0051
KB relative information score
0.2381 ± 0.0041
Mean absolute error
0.1655 ± 0.0005
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]
Predictive accuracy
0.196 ± 0.0046
Prior entropy
3.3219
Recall
0.196 ± 0.0046
Per class
Relative absolute error
0.9194 ± 0.0026
Root mean prior squared error
0.3
Root mean squared error
0.2879 ± 0.0009
Root relative squared error
0.9596 ± 0.0031
SciMark benchmark
1193.7396

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