Run
166572

Run 166572

Task 7307 (Supervised Classification) eating 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)_I160
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

0.7454
Per class
Cross-validation details (10-fold Crossvalidation)
0.4262
Per class
Cross-validation details (10-fold Crossvalidation)
0.3549
Cross-validation details (10-fold Crossvalidation)
384.5101
Cross-validation details (10-fold Crossvalidation)
0.1581
Cross-validation details (10-fold Crossvalidation)
0.2448
Cross-validation details (10-fold Crossvalidation)
945
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]
0.4234
Per class
Cross-validation details (10-fold Crossvalidation)
0.4476
Cross-validation details (10-fold Crossvalidation)
2.8053
Cross-validation details (10-fold Crossvalidation)
0.4476
Per class
Cross-validation details (10-fold Crossvalidation)
0.646
Cross-validation details (10-fold Crossvalidation)
0.3498
Cross-validation details (10-fold Crossvalidation)
0.3854
Cross-validation details (10-fold Crossvalidation)
1.1016
Cross-validation details (10-fold Crossvalidation)
943.2817
427890
Cross-validation details (10-fold Crossvalidation)
133420
Cross-validation details (10-fold Crossvalidation)
294470
Cross-validation details (10-fold Crossvalidation)