DEVELOPMENT... OpenML
Run
148156

Run 148156

Task 3722 (Supervised Classification) hungarian Uploaded 03-02-2015 by Felicia West
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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.

22 Evaluation measures

Area under ROC curve
0.863
Per class
F measure
0.7812
Per class
Kappa
0.5168
KB relative information score
106.1876
Mean absolute error
0.309
Mean prior absolute error
0.4614
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7874
Per class
Predictive accuracy
0.7891
Prior entropy
0.9439
Recall
0.7891
Per class
Relative absolute error
0.6698
Root mean prior squared error
0.4802
Root mean squared error
0.3793
Root relative squared error
0.79
SciMark benchmark
901.0726