DEVELOPMENT... OpenML
Run
47974

Run 47974

Task 1710 (Learning Curve) balance-scale Uploaded 05-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.BayesNet_K2(2)Weka implementation of BayesNet
weka.BayesNet_K2(2)_Dtrue
weka.BayesNet_K2(2)_Qweka.classifiers.bayes.net.search.local.K2
weka.K2(2)_P1
weka.K2(2)_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.

19 Evaluation measures

Area under ROC curve
0.8726 ± 0.0438
Per class
Build CPU time
0.0005
Build memory
372952903.3
Kappa
0.4807 ± 0.1129
KB relative information score
0.3625 ± 0.0445
Mean absolute error
0.2491 ± 0.0173
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.72 ± 0.0607
Prior entropy
1.3181 ± 0.0124
Recall
0.72 ± 0.0607
Per class
Relative absolute error
0.6559 ± 0.045
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3257 ± 0.0191
Root relative squared error
0.7477 ± 0.0433
SciMark benchmark
1193.7396