DEVELOPMENT... OpenML
Run
53175

Run 53175

Task 1710 (Learning Curve) balance-scale Uploaded 08-11-2014 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
0.8434 ± 0.0451
Per class
Build CPU time
0.0007
Build memory
1338323613.2
Kappa
0.5727 ± 0.1252
KB relative information score
0.165 ± 0.0206
Mean absolute error
0.3273 ± 0.0073
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.7696 ± 0.0677
Prior entropy
1.3181 ± 0.0124
Recall
0.7696 ± 0.0677
Per class
Relative absolute error
0.8617 ± 0.0176
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.384 ± 0.0095
Root relative squared error
0.8815 ± 0.0202
SciMark benchmark
1914.93