Run
58724

Run 58724

Task 2102 (Learning Curve) eucalyptus Uploaded 15-11-2014 by Jan van Rijn
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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
0.8201 ± 0.027
Per class
Build CPU time
0.0011
Build memory
2815403407.2
Kappa
0.3142 ± 0.0389
KB relative information score
0.32 ± 0.0258
Mean absolute error
0.2457 ± 0.0071
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.4986 ± 0.0293
Prior entropy
2.2621 ± 0.0043
Recall
0.4986 ± 0.0293
Per class
Relative absolute error
0.7843 ± 0.0223
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3445 ± 0.0071
Root relative squared error
0.8706 ± 0.0177
SciMark benchmark
1769.7895