DEVELOPMENT... OpenML
Run
53184

Run 53184

Task 1721 (Learning Curve) mfeat-zernike 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.

21 Evaluation measures

Area under ROC curve
0.7979 ± 0.0318
Per class
Build CPU time
0.0089
Build memory
1855926397.8182
F measure
0.2341
Per class
Kappa
0.2428 ± 0.0319
KB relative information score
0.1852 ± 0.0043
Mean absolute error
0.169 ± 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
0.432
Per class
Predictive accuracy
0.3185 ± 0.0287
Prior entropy
3.3219
Recall
0.3185 ± 0.0287
Per class
Relative absolute error
0.9391 ± 0.0019
Root mean prior squared error
0.3
Root mean squared error
0.2873 ± 0.0012
Root relative squared error
0.9578 ± 0.0041
SciMark benchmark
1597.1006