DEVELOPMENT... OpenML
Run
54966

Run 54966

Task 1740 (Learning Curve) soybean 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
0.8535 ± 0.0333
Per class
Build CPU time
0.0015
Build memory
281302861.4
Kappa
0.2389 ± 0.0555
KB relative information score
0.3238 ± 0.0126
Mean absolute error
0.0827 ± 0.001
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.3206 ± 0.0508
Prior entropy
3.8358 ± 0.0227
Recall
0.3206 ± 0.0508
Per class
Relative absolute error
0.8606 ± 0.0111
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.2024 ± 0.0015
Root relative squared error
0.9235 ± 0.0071
SciMark benchmark
1606.2579