DEVELOPMENT... OpenML
Run
148104

Run 148104

Task 3670 (Supervised Classification) fri_c4_500_50 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
0.7267
Per class
F measure
0.6428
Per class
Kappa
0.2841
KB relative information score
53.4722
Mean absolute error
0.4556
Mean prior absolute error
0.4984
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6461
Per class
Predictive accuracy
0.646
Prior entropy
0.9978
Recall
0.646
Per class
Relative absolute error
0.9141
Root mean prior squared error
0.4992
Root mean squared error
0.4665
Root relative squared error
0.9345
SciMark benchmark
901.0726
UserCPU time millis
10
UserCPU time millis training
10