DEVELOPMENT... OpenML
Run
25056

Run 25056

Task 115 (Learning Curve) vowel Uploaded 16-08-2014 by Jason
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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.

21 Evaluation measures

Area under ROC curve
0.9356 ± 0.0109
Per class
Build CPU time
0.0028
Build memory
5666679887.6
F measure
0.5877 ± 0.051
Per class
Kappa
0.5441 ± 0.0559
KB relative information score
0.5913 ± 0.0328
Mean absolute error
0.0938 ± 0.005
Mean prior absolute error
0.1653
Number of instances
9900
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.593 ± 0.0516
Per class
Predictive accuracy
0.5856 ± 0.0508
Prior entropy
3.4594
Recall
0.5856 ± 0.0508
Per class
Relative absolute error
0.5673 ± 0.0304
Root mean prior squared error
0.2875
Root mean squared error
0.2227 ± 0.0097
Root relative squared error
0.7747 ± 0.0339
SciMark benchmark
1148.1161[689.1508137755416940.8959553098401531.8186837014725975.60102889638462603.1140153680353]