DEVELOPMENT... OpenML
Run
34771

Run 34771

Task 1889 (Supervised Classification) autos Uploaded 20-10-2014 by Felicia West
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Flow

weka.Bagging_JRip(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(2)_I80
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
0.9379
Per class
Build CPU time
1.8935
Build memory
1075643012.2849
F measure
0.7984
Per class
Kappa
0.7369
KB relative information score
1340.5315
Mean absolute error
0.0971
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
0.8092
Per class
Predictive accuracy
0.8005
Prior entropy
2.3268
Recall
0.8005
Per class
Relative absolute error
0.4396
Root mean prior squared error
0.3318
Root mean squared error
0.2073
Root relative squared error
0.625
SciMark benchmark
756.5879