Run
284503

Run 284503

Task 4567 (Supervised Classification) audiology Uploaded 10-03-2015 by Joaquin Vanschoren
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Flow

weka.LBR(3)Zijian Zheng, G. Webb (2000). Lazy Learning of Bayesian Rules. Machine Learning. 4(1):53-84.

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
0.9731
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9473
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.8591
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1805.328
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0736
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
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9473
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9478
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.8182
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9478
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.1945
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
0.2016
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.4643
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1315.933
UserCPU time millis
12370
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
12370
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)