Run
228491

Run 228491

Task 4567 (Supervised Classification) audiology Uploaded 01-03-2015 by Joaquin Vanschoren
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Flow

weka.FilteredClassifier_Standardize_NaiveBayes(1)Weka implementation of FilteredClassifier
weka.FilteredClassifier_Standardize_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.9743
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9235
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7997
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1659.3771
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0938
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.3783
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
2260
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9252
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9226
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.8182
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9226
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.2481
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4343
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2306
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.531
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
918.6005
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)