Run
503073

Run 503073

Task 10052 (Learning Curve) hiva_agnostic 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
0.6964 ± 0.0613
Per class
F measure
0.9041 ± 0.0095
Per class
Kappa
0.1242 ± 0.0497
KB relative information score
-8401.0423 ± 139.1475
Mean absolute error
0.1296 ± 0.0149
Mean prior absolute error
0.0682 ± 0.0007
Number of instances
4229
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.9446 ± 0.0062
Per class
Predictive accuracy
0.8723 ± 0.0154
Prior entropy
0.221
Recall
0.8723 ± 0.0154
Per class
Relative absolute error
1.9007 ± 0.22
Root mean prior squared error
0.1844 ± 0.0018
Root mean squared error
0.3534 ± 0.0208
Root relative squared error
1.9166 ± 0.1159
SciMark benchmark
1679.2142
UserCPU time millis
3150
UserCPU time millis testing
990
UserCPU time millis training
2160