DEVELOPMENT... OpenML
Run
148333

Run 148333

Task 3899 (Supervised Classification) mozilla4 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
0.8965
Per class
F measure
0.932
Per class
Kappa
0.8428
KB relative information score
11717.2475
Mean absolute error
0.1197
Mean prior absolute error
0.4412
Number of instances
15545
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9398
Per class
Predictive accuracy
0.9341
Prior entropy
0.9135
Recall
0.9341
Per class
Relative absolute error
0.2712
Root mean prior squared error
0.4697
Root mean squared error
0.2449
Root relative squared error
0.5214
SciMark benchmark
901.0726
UserCPU time millis
50
UserCPU time millis testing
20
UserCPU time millis training
30