DEVELOPMENT... OpenML
Run
148145

Run 148145

Task 3712 (Supervised Classification) wind 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
0.8851
Per class
F measure
0.8199
Per class
Kappa
0.6388
KB relative information score
2933.9881
Mean absolute error
0.2985
Mean prior absolute error
0.4979
Number of instances
6574
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8206
Per class
Predictive accuracy
0.8197
Prior entropy
0.9969
Recall
0.8197
Per class
Relative absolute error
0.5996
Root mean prior squared error
0.4989
Root mean squared error
0.3673
Root relative squared error
0.7361
SciMark benchmark
917.7039
UserCPU time millis
30
UserCPU time millis training
30