Run
189461

Run 189461

Task 4200 (Supervised Classification) SPECT Uploaded 25-02-2015 by Jan van Rijn
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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
0.8516
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.831
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5197
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
526.7621
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2296
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.3284
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
2670
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
0.8501
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8217
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.738
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8217
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.6992
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4044
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3644
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9009
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1363.434
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)