Run
168172

Run 168172

Task 3017 (Supervised Classification) BNG(colic.ORIG) Uploaded 19-02-2015 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I20
weka.MultiBoostAB_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

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

0.8708
Per class
Cross-validation details (10-fold Crossvalidation)
0.8298
Per class
Cross-validation details (10-fold Crossvalidation)
0.629
Cross-validation details (10-fold Crossvalidation)
620937.9199
Cross-validation details (10-fold Crossvalidation)
0.1698
Cross-validation details (10-fold Crossvalidation)
0.4621
Cross-validation details (10-fold Crossvalidation)
1000000
Per class
Cross-validation details (10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.8296
Per class
Cross-validation details (10-fold Crossvalidation)
0.8314
Cross-validation details (10-fold Crossvalidation)
0.9447
Cross-validation details (10-fold Crossvalidation)
0.8314
Per class
Cross-validation details (10-fold Crossvalidation)
0.3674
Cross-validation details (10-fold Crossvalidation)
0.4807
Cross-validation details (10-fold Crossvalidation)
0.4055
Cross-validation details (10-fold Crossvalidation)
0.8435
Cross-validation details (10-fold Crossvalidation)
908.0036
385790
Cross-validation details (10-fold Crossvalidation)
104210
Cross-validation details (10-fold Crossvalidation)
281580
Cross-validation details (10-fold Crossvalidation)