DEVELOPMENT... OpenML
Run
54955

Run 54955

Task 1714 (Learning Curve) breast-w 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.

21 Evaluation measures

Area under ROC curve
0.9863 ± 0.0128
Per class
Build CPU time
0.0009
Build memory
1585587831.7
F measure
0.9499 ± 0.0279
Per class
Kappa
0.8891 ± 0.0614
KB relative information score
0.7498 ± 0.0524
Mean absolute error
0.1277 ± 0.0229
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9499 ± 0.0276
Per class
Predictive accuracy
0.9499 ± 0.0279
Prior entropy
0.9293 ± 0.0043
Recall
0.9499 ± 0.0279
Per class
Relative absolute error
0.2825 ± 0.0504
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.2107 ± 0.0377
Root relative squared error
0.4433 ± 0.079
SciMark benchmark
1606.2579