Run
68707

Run 68707

Task 3561 (Supervised Classification) profb Uploaded 30-11-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_NaiveBayes(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_NaiveBayes(2)_I160
weka.Bagging_NaiveBayes(2)_P100
weka.Bagging_NaiveBayes(2)_S1
weka.Bagging_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes
weka.Bagging_NaiveBayes(2)_num-slots1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.6607
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.1159
Cross-validation details (10-fold Crossvalidation)
Build memory
1165341079.8333
Cross-validation details (10-fold Crossvalidation)
F measure
0.6276
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.139
Cross-validation details (10-fold Crossvalidation)
KB relative information score
51.538
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4053
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4446
Cross-validation details (10-fold Crossvalidation)
Number of instances
672
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
0.6339
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6682
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9188
Cross-validation details (10-fold Crossvalidation)
Recall
0.6682
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9116
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4573
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9702
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
932.5791