Run
168554

Run 168554

Task 2136 (Supervised Classification) BNG(anneal.ORIG) Uploaded 20-02-2015 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)_I10
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

0.8585
Per class
Cross-validation details (10-fold Crossvalidation)
0.8109
Per class
Cross-validation details (10-fold Crossvalidation)
0.537
Cross-validation details (10-fold Crossvalidation)
505896.1942
Cross-validation details (10-fold Crossvalidation)
0.0645
Cross-validation details (10-fold Crossvalidation)
0.1343
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]
0.8202
Per class
Cross-validation details (10-fold Crossvalidation)
0.8093
Cross-validation details (10-fold Crossvalidation)
1.2034
Cross-validation details (10-fold Crossvalidation)
0.8093
Per class
Cross-validation details (10-fold Crossvalidation)
0.4798
Cross-validation details (10-fold Crossvalidation)
0.2592
Cross-validation details (10-fold Crossvalidation)
0.248
Cross-validation details (10-fold Crossvalidation)
0.9568
Cross-validation details (10-fold Crossvalidation)
943.2817
458550
Cross-validation details (10-fold Crossvalidation)
157040
Cross-validation details (10-fold Crossvalidation)
301510
Cross-validation details (10-fold Crossvalidation)