Run
89242

Run 89242

Task 3858 (Supervised Classification) mfeat-zernike 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
0.9581
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0022
Cross-validation details (10-fold Crossvalidation)
Build memory
151318303.2
Cross-validation details (10-fold Crossvalidation)
F measure
0.956
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7764
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1293.8687
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0475
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1803
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.965
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9525
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4703
Cross-validation details (10-fold Crossvalidation)
Recall
0.9525
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2634
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2179
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7265
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
944.7664