Run
22143

Run 22143

Task 55 (Supervised Classification) vote Uploaded 21-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_NaiveBayes(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_NaiveBayes(1)_I20
weka.AdaBoostM1_NaiveBayes(1)_P100
weka.AdaBoostM1_NaiveBayes(1)_S1
weka.AdaBoostM1_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
0.975
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9541
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9032
Cross-validation details (10-fold Crossvalidation)
KB relative information score
386.1193
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0542
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4742
Cross-validation details (10-fold Crossvalidation)
Number of instances
435
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
0.9542
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.954
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9627
Cross-validation details (10-fold Crossvalidation)
Recall
0.954
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1143
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4869
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1995
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4097
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
821.9914[544.3947072648879919.348782600634459.2565427053753840.47452236861621346.4826582999137]