Run
433887

Run 433887

Task 86 (Learning Curve) colic 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
0.8357 ± 0.0733
Per class
F measure
0.813 ± 0.0605
Per class
Kappa
0.5999 ± 0.1275
KB relative information score
0.324 ± 0.0658
Mean absolute error
0.334 ± 0.0263
Mean prior absolute error
0.4662 ± 0.0029
Number of instances
3680
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8137 ± 0.0586
Per class
Predictive accuracy
0.8125 ± 0.06
Prior entropy
0.9503 ± 0.0087
Recall
0.8125 ± 0.06
Per class
Relative absolute error
0.7166 ± 0.056
Root mean prior squared error
0.4827 ± 0.0031
Root mean squared error
0.389 ± 0.0325
Root relative squared error
0.806 ± 0.0669
SciMark benchmark
921.1883