Run
28074

Run 28074

Task 4234 (Supervised Classification) oh5.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
0.9796
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Build CPU time
322.6813
Cross-validation details (10 times 10-fold Crossvalidation)
Build memory
1935918855.6915
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8508
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.8235
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
7444.6072
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0461
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1775
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
9180
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
0.8733
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8438
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
3.2382
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8438
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.2599
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2979
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1483
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.4977
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
930.4154