Run
89360

Run 89360

Task 3874 (Supervised Classification) ecoli 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
0.8889
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0003
Cross-validation details (10-fold Crossvalidation)
Build memory
74107084.9524
Cross-validation details (10-fold Crossvalidation)
F measure
0.8873
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7708
Cross-validation details (10-fold Crossvalidation)
KB relative information score
257.4794
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1131
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.489
Cross-validation details (10-fold Crossvalidation)
Number of instances
336
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
0.8893
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8869
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9842
Cross-validation details (10-fold Crossvalidation)
Recall
0.8869
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2313
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4944
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3363
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6802
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
938.8833