DEVELOPMENT... OpenML
Run
54954

Run 54954

Task 1713 (Learning Curve) mfeat-fourier 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
0.8456 ± 0.0129
Per class
Build CPU time
0.0141
Build memory
1061240180.9455
F measure
0.3078
Per class
Kappa
0.345 ± 0.0391
KB relative information score
0.2333 ± 0.0041
Mean absolute error
0.1653 ± 0.0003
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.3447
Per class
Predictive accuracy
0.4105 ± 0.0352
Prior entropy
3.3219
Recall
0.4105 ± 0.0352
Per class
Relative absolute error
0.9185 ± 0.0019
Root mean prior squared error
0.3
Root mean squared error
0.2828 ± 0.0006
Root relative squared error
0.9426 ± 0.0021
SciMark benchmark
1606.2579