Run
33814

Run 33814

Task 4403 (Supervised Classification) bank32nh Uploaded 16-10-2014 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)_I160
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
0.8823
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Build CPU time
1454.985
Cross-validation details (10 times 10-fold Crossvalidation)
Build memory
712589169.3695
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7995
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5176
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
30664.3344
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2756
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4281
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
81920
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
0.8044
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8092
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.8937
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8092
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.6436
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4627
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.36
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7781
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
943.739