OpenML
16152

Run 16152

Task 22 (Supervised Classification) mfeat-zernike 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
0.9577
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7291
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1536.6088
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0541
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.729
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.73
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.73
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3007
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.194
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6466
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
931.3338[562.65828827718581014.4538012229739464.62219137228993906.13207810932491708.802616974547]