DEVELOPMENT... OpenML
Run
50650

Run 50650

Task 1717 (Learning Curve) mfeat-morphological Uploaded 06-11-2014 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
0.7698 ± 0.016
Per class
Build CPU time
0.0012
Build memory
512205154.0364
Kappa
0.1211 ± 0.0336
KB relative information score
0.2858 ± 0.002
Mean absolute error
0.1606 ± 0.0003
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.209 ± 0.0303
Prior entropy
3.3219
Recall
0.209 ± 0.0303
Per class
Relative absolute error
0.8924 ± 0.0014
Root mean prior squared error
0.3
Root mean squared error
0.2833 ± 0.0003
Root relative squared error
0.9443 ± 0.0012
SciMark benchmark
1615.5755