DEVELOPMENT... OpenML
Run
148349

Run 148349

Task 3525 (Supervised Classification) new3s.wc 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
0.7232
Per class
F measure
0.047
Per class
Kappa
0.0777
KB relative information score
1032.0506
Mean absolute error
0.0433
Mean prior absolute error
0.0441
Number of instances
9558
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0315
Per class
Predictive accuracy
0.125
Prior entropy
5.2666
Recall
0.125
Per class
Relative absolute error
0.9827
Root mean prior squared error
0.1485
Root mean squared error
0.1468
Root relative squared error
0.989
SciMark benchmark
947.9494
UserCPU time millis
164330
UserCPU time millis testing
60
UserCPU time millis training
164270