Run
89368

Run 89368

Task 37 (Supervised Classification) diabetes Uploaded 08-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.5613
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0002
Cross-validation details (10-fold Crossvalidation)
Build memory
98710652.5729
Cross-validation details (10-fold Crossvalidation)
F measure
0.5951
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.12
Cross-validation details (10-fold Crossvalidation)
KB relative information score
48.7798
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4089
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6004
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5911
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.5911
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8996
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6394
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3415
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
941.5087