Run
503057

Run 503057

Task 1728 (Learning Curve) credit-approval Uploaded 22-12-2015 by Jan van Rijn
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Flow

weka.BayesNet_K2(19)Weka implementation of BayesNet
weka.BayesNet_K2(19)_Dtrue
weka.BayesNet_K2(19)_Qweka.classifiers.bayes.net.search.local.K2
weka.K2(9)_P1
weka.K2(9)_SBAYES

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
0.9166 ± 0.0384
Per class
F measure
0.8616 ± 0.0448
Per class
Kappa
0.719 ± 0.0918
KB relative information score
462.1273 ± 5.8977
Mean absolute error
0.1672 ± 0.0413
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.8632 ± 0.0463
Per class
Predictive accuracy
0.8623 ± 0.0444
Prior entropy
0.9913
Recall
0.8623 ± 0.0444
Per class
Relative absolute error
0.3386 ± 0.084
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3387 ± 0.0498
Root relative squared error
0.6816 ± 0.1009
SciMark benchmark
1676.5109