DEVELOPMENT... OpenML
Run
54950

Run 54950

Task 1701 (Learning Curve) anneal 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
0.8915 ± 0.0189
Per class
Build CPU time
0.0019
Build memory
351348218.0444
Kappa
0.4347 ± 0.0221
KB relative information score
0.3881 ± 0.04
Mean absolute error
0.0945 ± 0.0045
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.8363 ± 0.0053
Prior entropy
1.1915 ± 0.026
Recall
0.8363 ± 0.0053
Per class
Relative absolute error
0.7036 ± 0.0346
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.2039 ± 0.0079
Root relative squared error
0.7898 ± 0.03
SciMark benchmark
1606.2579