Run
18852

Run 18852

Task 2 (Supervised Classification) anneal 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)_I20
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
0.9402
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8021
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5984
Cross-validation details (10-fold Crossvalidation)
KB relative information score
479.2935
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0711
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
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
0.878
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7851
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.7851
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5294
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2557
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9904
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
930.89[552.8496114128479999.7172495283804476.7947510829143894.07915072242371731.008996151473]