Run
433856

Run 433856

Task 66 (Learning Curve) audiology Uploaded 12-05-2015 by Joaquin Vanschoren
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Flow

weka.Dagging_DecisionStump(3)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(3)_F10
weka.Dagging_DecisionStump(3)_S1
weka.Dagging_DecisionStump(3)_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.

20 Evaluation measures

Area under ROC curve
0.7863 ± 0.0393
Per class
Kappa
0.3054 ± 0.0298
KB relative information score
0.2184 ± 0.0332
Mean absolute error
0.0628 ± 0.0018
Mean prior absolute error
0.0724 ± 0.0004
Number of instances
2260
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.4633 ± 0.0258
Prior entropy
3.4373 ± 0.1528
Recall
0.4633 ± 0.0258
Per class
Relative absolute error
0.867 ± 0.0227
Root mean prior squared error
0.1893 ± 0.0011
Root mean squared error
0.1736 ± 0.0032
Root relative squared error
0.9168 ± 0.014
SciMark benchmark
938.0833