Run
68587

Run 68587

Task 3785 (Supervised Classification) fri_c2_100_50 Uploaded 30-11-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.812
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.1559
Cross-validation details (10-fold Crossvalidation)
Build memory
2011576871.2
Cross-validation details (10-fold Crossvalidation)
F measure
0.78
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5484
Cross-validation details (10-fold Crossvalidation)
KB relative information score
41.3932
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2923
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4875
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
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
0.78
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.78
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9822
Cross-validation details (10-fold Crossvalidation)
Recall
0.78
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5997
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4936
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.416
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8429
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
932.5791