Run
19961

Run 19961

Task 21 (Supervised Classification) car Uploaded 18-06-2014 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)_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
0.9787
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8985
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7783
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1313.2351
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0604
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
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
0.8982
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8987
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.8987
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2637
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1912
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5654
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
919.9819[539.5115208845662993.5318554177143468.065280891209880.86019416533021717.9407057950139]