Run
23671

Run 23671

Task 36 (Supervised Classification) segment Uploaded 26-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_NaiveBayes(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(1)_C3
weka.MultiBoostAB_NaiveBayes(1)_I80
weka.MultiBoostAB_NaiveBayes(1)_P100
weka.MultiBoostAB_NaiveBayes(1)_S1
weka.MultiBoostAB_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9416
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7823
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7707
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1533.3147
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1223
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2449
Cross-validation details (10-fold Crossvalidation)
Number of instances
2310
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8225
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8035
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.8074
Cross-validation details (10-fold Crossvalidation)
Recall
0.8035
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3499
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2079
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5942
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
944.1814[570.57268060828321013.1204302006943472.80575397915436911.17132945493631753.2370197795062]