DEVELOPMENT... OpenML
Run
148150

Run 148150

Task 3716 (Supervised Classification) tecator 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
0.949
Per class
F measure
0.8714
Per class
Kappa
0.7387
KB relative information score
148.8754
Mean absolute error
0.1994
Mean prior absolute error
0.4888
Number of instances
240
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8744
Per class
Predictive accuracy
0.8708
Prior entropy
0.984
Recall
0.8708
Per class
Relative absolute error
0.4079
Root mean prior squared error
0.4943
Root mean squared error
0.3016
Root relative squared error
0.6101
SciMark benchmark
901.0726