DEVELOPMENT... OpenML
Run
148270

Run 148270

Task 3836 (Supervised Classification) wine 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
0.9647
Per class
F measure
0.9038
Per class
Kappa
0.7985
KB relative information score
117.0194
Mean absolute error
0.1793
Mean prior absolute error
0.4798
Number of instances
178
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9047
Per class
Predictive accuracy
0.9045
Prior entropy
0.971
Recall
0.9045
Per class
Relative absolute error
0.3737
Root mean prior squared error
0.4897
Root mean squared error
0.2699
Root relative squared error
0.5512
SciMark benchmark
901.0726