Run
189840

Run 189840

Task 4592 (Supervised Classification) analcatdata_germangss Uploaded 25-02-2015 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
0.9646
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9064
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7267
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
2283.0299
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1516
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.3495
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
4000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.906
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9083
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.7716
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9083
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4336
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4176
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2524
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6045
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1073.494
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)