DEVELOPMENT... OpenML
Run
147896

Run 147896

Task 2273 (Supervised Classification) meta_batchincremental.arff 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
0.5715
Per class
F measure
0.5928
Per class
Kappa
0.0937
KB relative information score
6.2874
Mean absolute error
0.2247
Mean prior absolute error
0.2519
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6105
Per class
Predictive accuracy
0.6892
Prior entropy
1.3842
Recall
0.6892
Per class
Relative absolute error
0.892
Root mean prior squared error
0.3504
Root mean squared error
0.3517
Root relative squared error
1.0035
SciMark benchmark
947.9494

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