DEVELOPMENT... OpenML
Run
148350

Run 148350

Task 3915 (Supervised Classification) kc3 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
0.8041
Per class
F measure
0.8582
Per class
Kappa
-0.0124
KB relative information score
-101.1058
Mean absolute error
0.147
Mean prior absolute error
0.1716
Number of instances
458
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8205
Per class
Predictive accuracy
0.8996
Prior entropy
0.4551
Recall
0.8996
Per class
Relative absolute error
0.857
Root mean prior squared error
0.2917
Root mean squared error
0.2728
Root relative squared error
0.9352
SciMark benchmark
901.0726
UserCPU time millis
10
UserCPU time millis training
10