DEVELOPMENT... OpenML
Run
25114

Run 25114

Task 87 (Learning Curve) optdigits 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
0.9903 ± 0.0027
Per class
Build CPU time
0.0301
Build memory
3986437483.6971
F measure
0.9227 ± 0.0116
Per class
Kappa
0.9137 ± 0.013
KB relative information score
0.9229 ± 0.0106
Mean absolute error
0.0162 ± 0.0021
Mean prior absolute error
0.18 ± 0
Number of instances
56200
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.9242 ± 0.0111
Per class
Predictive accuracy
0.9223 ± 0.0117
Prior entropy
3.3218 ± 0.0001
Recall
0.9223 ± 0.0117
Per class
Relative absolute error
0.0897 ± 0.0116
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.1168 ± 0.0082
Root relative squared error
0.3894 ± 0.0273
SciMark benchmark
1157.4981[687.2500262386831984.3959268331351547.4085125544118986.24530004682262582.190689696285]