DEVELOPMENT... OpenML
Run
27500

Run 27500

Task 1889 (Supervised Classification) autos Uploaded 08-10-2014 by Felicia West
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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
0.952
Per class
Build CPU time
0.0616
Build memory
3448250484.5073
F measure
0.8246
Per class
Kappa
0.7715
KB relative information score
1409.0119
Mean absolute error
0.091
Mean prior absolute error
0.2209
Number of instances
2050
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.833
Per class
Predictive accuracy
0.8249
Prior entropy
2.3268
Recall
0.8249
Per class
Relative absolute error
0.412
Root mean prior squared error
0.3318
Root mean squared error
0.1984
Root relative squared error
0.5982
SciMark benchmark
909.6372