Run
169841

Run 169841

Task 3533 (Supervised Classification) wap.wc 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

0.8934
Per class
Cross-validation details (10-fold Crossvalidation)
0.725
Per class
Cross-validation details (10-fold Crossvalidation)
0.6992
Cross-validation details (10-fold Crossvalidation)
1069.857
Cross-validation details (10-fold Crossvalidation)
0.0271
Cross-validation details (10-fold Crossvalidation)
0.0899
Cross-validation details (10-fold Crossvalidation)
1560
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]
0.7504
Per class
Cross-validation details (10-fold Crossvalidation)
0.7288
Cross-validation details (10-fold Crossvalidation)
3.7381
Cross-validation details (10-fold Crossvalidation)
0.7288
Per class
Cross-validation details (10-fold Crossvalidation)
0.3016
Cross-validation details (10-fold Crossvalidation)
0.212
Cross-validation details (10-fold Crossvalidation)
0.162
Cross-validation details (10-fold Crossvalidation)
0.7645
Cross-validation details (10-fold Crossvalidation)
917.4321
2551730
Cross-validation details (10-fold Crossvalidation)
920100
Cross-validation details (10-fold Crossvalidation)
1631630
Cross-validation details (10-fold Crossvalidation)