Run
166710

Run 166710

Task 3520 (Supervised Classification) tr31.wc Uploaded 18-02-2015 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)_I80
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

0.9358
Per class
Cross-validation details (10-fold Crossvalidation)
0.8299
Per class
Cross-validation details (10-fold Crossvalidation)
0.7556
Cross-validation details (10-fold Crossvalidation)
629.8389
Cross-validation details (10-fold Crossvalidation)
0.0886
Cross-validation details (10-fold Crossvalidation)
0.2145
Cross-validation details (10-fold Crossvalidation)
927
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]
0.8657
Per class
Cross-validation details (10-fold Crossvalidation)
0.8123
Cross-validation details (10-fold Crossvalidation)
2.2393
Cross-validation details (10-fold Crossvalidation)
0.8123
Per class
Cross-validation details (10-fold Crossvalidation)
0.4131
Cross-validation details (10-fold Crossvalidation)
0.3273
Cross-validation details (10-fold Crossvalidation)
0.207
Cross-validation details (10-fold Crossvalidation)
0.6324
Cross-validation details (10-fold Crossvalidation)
941.7954
391830
Cross-validation details (10-fold Crossvalidation)
113580
Cross-validation details (10-fold Crossvalidation)
278250
Cross-validation details (10-fold Crossvalidation)