DEVELOPMENT... OpenML
Run
50646

Run 50646

Task 2098 (Learning Curve) abalone 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
0.6679 ± 0.01
Per class
Build CPU time
0.0026
Build memory
841507889.7846
Kappa
0.105 ± 0.0229
KB relative information score
0.1395 ± 0.004
Mean absolute error
0.0595 ± 0.0001
Mean prior absolute error
0.0618 ± 0
Number of instances
4177
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.2272 ± 0.0189
Prior entropy
3.6031 ± 0.0188
Recall
0.2272 ± 0.0189
Per class
Relative absolute error
0.9632 ± 0.0021
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.1722 ± 0.0004
Root relative squared error
0.9797 ± 0.0022
SciMark benchmark
1633.1623