DEVELOPMENT... OpenML
Run
58727

Run 58727

Task 1705 (Learning Curve) letter Uploaded 15-11-2014 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
0.7686 ± 0.0172
Per class
Build CPU time
0.0107
Build memory
2391419842.8444
Kappa
0.123 ± 0.0187
KB relative information score
0.1162 ± 0.0018
Mean absolute error
0.0726 ± 0
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.1573 ± 0.018
Prior entropy
4.6998 ± 0.0001
Recall
0.1573 ± 0.018
Per class
Relative absolute error
0.9813 ± 0.0004
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.1896 ± 0.0001
Root relative squared error
0.9861 ± 0.0005
SciMark benchmark
1769.7895