DEVELOPMENT... OpenML
Run
25104

Run 25104

Task 77 (Learning Curve) mfeat-morphological 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
0.9516 ± 0.0059
Per class
Build CPU time
0.0024
Build memory
1057099311.2436
F measure
0.6726 ± 0.0226
Per class
Kappa
0.6503 ± 0.0252
KB relative information score
0.7283 ± 0.0188
Mean absolute error
0.0657 ± 0.0032
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
0.6792 ± 0.0269
Per class
Predictive accuracy
0.6853 ± 0.0226
Prior entropy
3.3219
Recall
0.6853 ± 0.0226
Per class
Relative absolute error
0.365 ± 0.0179
Root mean prior squared error
0.3
Root mean squared error
0.2084 ± 0.008
Root relative squared error
0.6948 ± 0.0267
SciMark benchmark
1152.8134[692.4337447479351992.7640510810805539.9757729519542983.28577432242762555.607449161544]