DEVELOPMENT... OpenML
Run
188944

Run 188944

Task 3056 (Supervised Classification) SPECT Uploaded 25-02-2015 by Felicia West
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Flow

weka.HNB(6)H. Zhang, L. Jiang, J. Su: Hidden Naive Bayes. In: Twentieth National Conference on Artificial Intelligence, 919-924, 2005.

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.

22 Evaluation measures

Area under ROC curve
0.8581
Per class
F measure
0.8481
Per class
Kappa
0.5784
KB relative information score
24.3307
Mean absolute error
0.2182
Mean prior absolute error
0.3342
Number of instances
88
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8639
Per class
Predictive accuracy
0.8409
Prior entropy
0.738
Recall
0.8409
Per class
Relative absolute error
0.6529
Root mean prior squared error
0.4115
Root mean squared error
0.3508
Root relative squared error
0.8523
SciMark benchmark
1310.3951
UserCPU time millis
10
UserCPU time millis testing
10