Run
35109

Run 35109

Task 2978 (Supervised Classification) meta_ensembles.arff Uploaded 22-10-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_JRip(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(2)_I80
weka.Bagging_JRip(2)_P100
weka.Bagging_JRip(2)_S1
weka.Bagging_JRip(2)_Wweka.classifiers.rules.JRip
weka.Bagging_JRip(2)_num-slots1
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.6784
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Build CPU time
1.0031
Cross-validation details (10 times 10-fold Crossvalidation)
Build memory
186455583.1135
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.6141
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.2745
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
190.722
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2358
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2904
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
740
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6535
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.6635
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.5899
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.6635
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8121
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3782
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3552
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9394
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
869.5506