Run
18956

Run 18956

Task 21 (Supervised Classification) car Uploaded 11-06-2014 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)_I10
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
0.9752
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8659
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7159
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1176.4476
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0631
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
0.871
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8727
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.8727
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2756
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2339
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6917
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
909.7546[519.1192543029098914.5491804119755473.8490386627953891.94960337339151749.3060121829703]