Run
28140

Run 28140

Task 4232 (Supervised Classification) oh0.wc Uploaded 09-10-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I20
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.9751
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Build CPU time
446.5164
Cross-validation details (10 times 10-fold Crossvalidation)
Build memory
1959447030.991
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8525
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.8207
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
8158.4964
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0437
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1749
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
10030
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
0.8843
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8447
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
3.1536
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8447
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.2497
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2957
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1506
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.5093
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
935.9128