DEVELOPMENT... OpenML
Run
25699

Run 25699

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

weka.BayesNet_HillClimber(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
0.9831
Per class
Build CPU time
0.0026
Build memory
339752962.4
F measure
0.94
Per class
Kappa
0.91
KB relative information score
138.6654
Mean absolute error
0.0384
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
0.9401
Per class
Predictive accuracy
0.94
Prior entropy
1.585
Recall
0.94
Per class
Relative absolute error
0.0863
Root mean prior squared error
0.4714
Root mean squared error
0.1599
Root relative squared error
0.3391
SciMark benchmark
1714.8026[1005.90580889067021232.0684111733299656.92371150703241336.1060058283744343.0088455351515]