OpenML
18025

Run 18025

Task 39 (Supervised Classification) sonar Uploaded 10-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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)_I40
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
0.8739
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.826
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.65
Cross-validation details (10-fold Crossvalidation)
KB relative information score
132.8973
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1797
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4978
Cross-validation details (10-fold Crossvalidation)
Number of instances
208
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
0.8289
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8269
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9968
Cross-validation details (10-fold Crossvalidation)
Recall
0.8269
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.361
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4989
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3983
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7985
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
887.5941[507.48927018003481014.4538012229739470.3205552291989896.83199204956041548.8750135798064]