Run
433864

Run 433864

Task 90 (Learning Curve) credit-g 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
0.7198 ± 0.0531
Per class
F measure
0.5847 ± 0.0223
Per class
Kappa
0.0137 ± 0.0332
KB relative information score
0.063 ± 0.0296
Mean absolute error
0.3868 ± 0.0086
Mean prior absolute error
0.4202
Number of instances
10000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6689 ± 0.1136
Per class
Predictive accuracy
0.7013 ± 0.0072
Prior entropy
0.8813
Recall
0.7013 ± 0.0072
Per class
Relative absolute error
0.9206 ± 0.0204
Root mean prior squared error
0.4583
Root mean squared error
0.4327 ± 0.0088
Root relative squared error
0.9443 ± 0.0193
SciMark benchmark
935.5676