Run
305257

Run 305257

Task 80 (Learning Curve) car Uploaded 18-03-2015 by Joaquin Vanschoren
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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
0.9904 ± 0.0047
Per class
F measure
0.9309 ± 0.0153
Per class
Kappa
0.8504 ± 0.0329
KB relative information score
0.727 ± 0.025
Mean absolute error
0.083 ± 0.0059
Mean prior absolute error
0.229 ± 0.0006
Number of instances
17280
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9343 ± 0.0143
Per class
Predictive accuracy
0.9296 ± 0.0158
Prior entropy
1.2058 ± 0.0089
Recall
0.9296 ± 0.0158
Per class
Relative absolute error
0.3624 ± 0.0257
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.1711 ± 0.0114
Root relative squared error
0.5061 ± 0.0336
SciMark benchmark
1320.1596