DEVELOPMENT... OpenML
Run
147864

Run 147864

Task 2075 (Supervised Classification) abalone 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
0.6634
Per class
F measure
0.1316
Per class
Kappa
0.0901
KB relative information score
578.9166
Mean absolute error
0.0595
Mean prior absolute error
0.0618
Number of instances
4177
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1243
Per class
Predictive accuracy
0.2152
Prior entropy
3.6268
Recall
0.2152
Per class
Relative absolute error
0.9632
Root mean prior squared error
0.1757
Root mean squared error
0.1722
Root relative squared error
0.98
SciMark benchmark
901.0726
UserCPU time millis
50
UserCPU time millis testing
10
UserCPU time millis training
40