DEVELOPMENT... OpenML
Run
25700

Run 25700

Task 59 (Supervised Classification) iris Uploaded 05-10-2014 by Felicia West
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Flow

weka.BayesNet_LAGDHillClimber(2)Weka implementation of BayesNet

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
0.9784
Per class
Build CPU time
0.0047
Build memory
365824882.4
F measure
0.9467
Per class
Kappa
0.92
KB relative information score
136.6765
Mean absolute error
0.046
Mean prior absolute error
0.4444
Number of instances
150
Per class
OS information
[Oracle Corporation, 1.7.0_67, x86_64, Mac OS X, 10.9.4]
Precision
0.9467
Per class
Predictive accuracy
0.9467
Prior entropy
1.585
Recall
0.9467
Per class
Relative absolute error
0.1035
Root mean prior squared error
0.4714
Root mean squared error
0.1751
Root relative squared error
0.3714
SciMark benchmark
1714.8026[1005.90580889067021232.0684111733299656.92371150703241336.1060058283744343.0088455351515]