DEVELOPMENT... OpenML
Run
58734

Run 58734

Task 1764 (Learning Curve) electricity Uploaded 15-11-2014 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.

21 Evaluation measures

Area under ROC curve
0.738 ± 0.0053
Per class
Build CPU time
0.0089
Build memory
2495588816.04
F measure
0.7476 ± 0.0058
Per class
Kappa
0.4821 ± 0.0113
KB relative information score
0.2911 ± 0.0059
Mean absolute error
0.3657 ± 0.0024
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7655 ± 0.0036
Per class
Predictive accuracy
0.7569 ± 0.0046
Prior entropy
0.9835 ± 0
Recall
0.7569 ± 0.0046
Per class
Relative absolute error
0.7485 ± 0.005
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.4262 ± 0.0025
Root relative squared error
0.8622 ± 0.005
SciMark benchmark
1769.7895

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