DEVELOPMENT... OpenML
Run
54959

Run 54959

Task 1722 (Learning Curve) cmc 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
0.6904 ± 0.0247
Per class
Build CPU time
0.001
Build memory
753966546.16
Kappa
0.1563 ± 0.0806
KB relative information score
0.0723 ± 0.0084
Mean absolute error
0.4136 ± 0.0035
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.4969 ± 0.0413
Prior entropy
1.539 ± 0.0029
Recall
0.4969 ± 0.0413
Per class
Relative absolute error
0.9601 ± 0.0085
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.4487 ± 0.003
Root relative squared error
0.9668 ± 0.0067
SciMark benchmark
1606.2579