DEVELOPMENT... OpenML
Run
25124

Run 25124

Task 97 (Learning Curve) ecoli 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.

19 Evaluation measures

Area under ROC curve
0.9659 ± 0.0188
Per class
Build CPU time
0.0008
Build memory
5961236996.2667
Kappa
0.7323 ± 0.0756
KB relative information score
0.7448 ± 0.0714
Mean absolute error
0.0544 ± 0.011
Mean prior absolute error
0.1828 ± 0.0012
Number of instances
3360
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Predictive accuracy
0.8063 ± 0.0561
Prior entropy
2.1906 ± 0.0868
Recall
0.8063 ± 0.0561
Per class
Relative absolute error
0.2975 ± 0.0596
Root mean prior squared error
0.3016 ± 0.0021
Root mean squared error
0.1786 ± 0.0278
Root relative squared error
0.5922 ± 0.0908
SciMark benchmark
1139.6735[698.2548860123936989.9588726891902522.2479400445139967.6780704870552520.2275929541793]