DEVELOPMENT... OpenML
Run
148190

Run 148190

Task 3756 (Supervised Classification) visualizing_hamster 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
0.5523
Per class
F measure
0.5934
Per class
Kappa
0.1959
KB relative information score
2.7058
Mean absolute error
0.4809
Mean prior absolute error
0.4955
Number of instances
73
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6204
Per class
Predictive accuracy
0.6164
Prior entropy
0.9937
Recall
0.6164
Per class
Relative absolute error
0.9704
Root mean prior squared error
0.4977
Root mean squared error
0.4967
Root relative squared error
0.998
SciMark benchmark
901.0726