DEVELOPMENT... OpenML
Run
25098

Run 25098

Task 71 (Learning Curve) mfeat-factors 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
0.9737 ± 0.0063
Per class
Build CPU time
0.0665
Build memory
1092132886.9382
F measure
0.9331 ± 0.015
Per class
Kappa
0.9256 ± 0.0165
KB relative information score
0.9311 ± 0.0151
Mean absolute error
0.0134 ± 0.0029
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.9341 ± 0.0142
Per class
Predictive accuracy
0.933 ± 0.0148
Prior entropy
3.3219
Recall
0.933 ± 0.0148
Per class
Relative absolute error
0.0743 ± 0.0161
Root mean prior squared error
0.3
Root mean squared error
0.114 ± 0.0128
Root relative squared error
0.3801 ± 0.0428
SciMark benchmark
1143.2506[705.3136292045072980.6386642583477542.8421963499411968.39304890152622519.0652105977642]

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