Run
16365

Run 16365

Task 21 (Supervised Classification) car Uploaded 04-06-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_NaiveBayes(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_NaiveBayes(1)_I80
weka.Bagging_NaiveBayes(1)_P100
weka.Bagging_NaiveBayes(1)_S1
weka.Bagging_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes
weka.Bagging_NaiveBayes(1)_num-slots1

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
0.9743
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.84
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6566
Cross-validation details (10-fold Crossvalidation)
KB relative information score
999.0305
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1144
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
0.8439
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8507
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.8507
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4994
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2274
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6724
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.8437[566.31186629444681013.3868112175512482.5806157404377907.07263143401181749.8664669073971]