Run
29588

Run 29588

Task 4518 (Supervised Classification) arsenic-female-lung Uploaded 12-10-2014 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)_I40
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
0.8272
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Build CPU time
0.0312
Cross-validation details (10 times 10-fold Crossvalidation)
Build memory
1660727077.746
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9493
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1397.1451
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0583
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.0672
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
5590
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
0.9332
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.966
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.222
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.966
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8668
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.1812
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1617
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8923
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
938.0561