Run
89289

Run 89289

Task 1816 (Supervised Classification) heart-statlog Uploaded 08-12-2014 by Joaquin Vanschoren
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Flow

weka.ComplementNaiveBayes(2)Jason D. Rennie, Lawrence Shih, Jaime Teevan, David R. Karger: Tackling the Poor Assumptions of Naive Bayes Text Classifiers. In: ICML, 616-623, 2003.
weka.ComplementNaiveBayes(2)_S1.0

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.

21 Evaluation measures

Area under ROC curve
0.7537
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
0.0001
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
135232082.4
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.7564
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.5069
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
680.1242
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.2437
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.4939
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
1350
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7565
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.7563
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
0.9912
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.7563
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.4935
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4969
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.4937
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.9935
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
944.7664