Run
316453

Run 316453

Task 1764 (Learning Curve) electricity Uploaded 21-03-2015 by Joaquin Vanschoren
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.BayesNet_K2(6)Weka implementation of BayesNet
weka.BayesNet_K2(6)_Dtrue
weka.BayesNet_K2(6)_Qweka.classifiers.bayes.net.search.local.K2
weka.K2(5)_P1
weka.K2(5)_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
0.8139 ± 0.0057
Per class
F measure
0.7453 ± 0.0045
Per class
Kappa
0.4786 ± 0.0092
KB relative information score
0.4098 ± 0.0076
Mean absolute error
0.2922 ± 0.0035
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7453 ± 0.0045
Per class
Predictive accuracy
0.7454 ± 0.0046
Prior entropy
0.9835 ± 0
Recall
0.7454 ± 0.0046
Per class
Relative absolute error
0.5981 ± 0.0072
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.43 ± 0.0046
Root relative squared error
0.8699 ± 0.0092
SciMark benchmark
1337.9038
UserCPU time millis
250
UserCPU time millis testing
80
UserCPU time millis training
170