DEVELOPMENT... OpenML
Run
54948

Run 54948

Task 2097 (Learning Curve) satimage Uploaded 10-11-2014 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
0.8217 ± 0.019
Per class
Build CPU time
0.0094
Build memory
843125882.0571
Kappa
0.3683 ± 0.086
KB relative information score
0.2704 ± 0.005
Mean absolute error
0.2241 ± 0.0005
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.5131 ± 0.0658
Prior entropy
2.4834 ± 0.0009
Recall
0.5131 ± 0.0658
Per class
Relative absolute error
0.8297 ± 0.0019
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.3288 ± 0.0014
Root relative squared error
0.8947 ± 0.0039
SciMark benchmark
1606.2579