Run
433854

Run 433854

Task 74 (Learning Curve) breast-w Uploaded 12-05-2015 by Joaquin Vanschoren
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Flow

weka.Dagging_DecisionStump(3)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(3)_F10
weka.Dagging_DecisionStump(3)_S1
weka.Dagging_DecisionStump(3)_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
0.9846 ± 0.0125
Per class
F measure
0.9486 ± 0.0263
Per class
Kappa
0.8862 ± 0.058
KB relative information score
0.7493 ± 0.044
Mean absolute error
0.128 ± 0.0186
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
6990
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9486 ± 0.0257
Per class
Predictive accuracy
0.9486 ± 0.0262
Prior entropy
0.9293 ± 0.0041
Recall
0.9486 ± 0.0262
Per class
Relative absolute error
0.2832 ± 0.0409
Root mean prior squared error
0.4753 ± 0.0014
Root mean squared error
0.2121 ± 0.0326
Root relative squared error
0.4462 ± 0.0683
SciMark benchmark
895.2913