DEVELOPMENT... OpenML
Run
53196

Run 53196

Task 1735 (Learning Curve) segment Uploaded 08-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Dagging_DecisionStump(2)Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.
weka.Dagging_DecisionStump(2)_F10
weka.Dagging_DecisionStump(2)_S1
weka.Dagging_DecisionStump(2)_Wweka.classifiers.trees.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
0.8797 ± 0.0071
Per class
Build CPU time
0.0024
Build memory
1505553566.4
Kappa
0.496 ± 0.01
KB relative information score
0.3179 ± 0.0063
Mean absolute error
0.2081 ± 0.0007
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.568 ± 0.0086
Prior entropy
2.8074
Recall
0.568 ± 0.0086
Per class
Relative absolute error
0.8498 ± 0.0029
Root mean prior squared error
0.3499
Root mean squared error
0.3102 ± 0.0024
Root relative squared error
0.8864 ± 0.007
SciMark benchmark
1914.93