Run
168873

Run 168873

Task 3842 (Supervised Classification) waveform-5000 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

0.947
Per class
Cross-validation details (10-fold Crossvalidation)
0.861
Per class
Cross-validation details (10-fold Crossvalidation)
0.7024
Cross-validation details (10-fold Crossvalidation)
3337.7936
Cross-validation details (10-fold Crossvalidation)
0.1421
Cross-validation details (10-fold Crossvalidation)
0.4478
Cross-validation details (10-fold Crossvalidation)
5000
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]
0.8791
Per class
Cross-validation details (10-fold Crossvalidation)
0.8578
Cross-validation details (10-fold Crossvalidation)
0.9233
Cross-validation details (10-fold Crossvalidation)
0.8578
Per class
Cross-validation details (10-fold Crossvalidation)
0.3172
Cross-validation details (10-fold Crossvalidation)
0.4732
Cross-validation details (10-fold Crossvalidation)
0.3689
Cross-validation details (10-fold Crossvalidation)
0.7797
Cross-validation details (10-fold Crossvalidation)
931.2336
2480
Cross-validation details (10-fold Crossvalidation)
750
Cross-validation details (10-fold Crossvalidation)
1730
Cross-validation details (10-fold Crossvalidation)