DEVELOPMENT... OpenML
Run
51237

Run 51237

Task 65 (Learning Curve) arrhythmia Uploaded 06-11-2014 by Jason
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  • curves 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
0.8717 ± 0.0357
Per class
Build CPU time
0.0102
Build memory
914103337.2229
Kappa
0.5576 ± 0.0801
KB relative information score
0.5609 ± 0.0733
Mean absolute error
0.0363 ± 0.006
Mean prior absolute error
0.0855 ± 0.0007
Number of instances
4520
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.7122 ± 0.0519
Prior entropy
2.4124 ± 0.056
Recall
0.7122 ± 0.0519
Per class
Relative absolute error
0.4244 ± 0.07
Root mean prior squared error
0.2055 ± 0.0018
Root mean squared error
0.1778 ± 0.0169
Root relative squared error
0.8651 ± 0.0819
SciMark benchmark
1651.8608