DEVELOPMENT... OpenML
Run
51229

Run 51229

Task 64 (Learning Curve) labor Uploaded 06-11-2014 by Felicia West
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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
0.974 ± 0.0796
Per class
Build CPU time
0.0004
Build memory
298265670.08
F measure
0.9125 ± 0.1157
Per class
Kappa
0.8083 ± 0.2428
KB relative information score
0.7641 ± 0.2419
Mean absolute error
0.1088 ± 0.0991
Mean prior absolute error
0.457 ± 0.0208
Number of instances
570
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9128 ± 0.084
Per class
Predictive accuracy
0.9123 ± 0.1156
Prior entropy
0.9349 ± 0.0618
Recall
0.9123 ± 0.1156
Per class
Relative absolute error
0.238 ± 0.2224
Root mean prior squared error
0.4773 ± 0.0219
Root mean squared error
0.2584 ± 0.167
Root relative squared error
0.5414 ± 0.3559
SciMark benchmark
930.7723