DEVELOPMENT... OpenML
Run
34982

Run 34982

Task 1933 (Supervised Classification) vehicle Uploaded 22-10-2014 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
0.9327
Per class
Build CPU time
10.4545
Build memory
1295368186.279
F measure
0.7425
Per class
Kappa
0.667
KB relative information score
5469.3374
Mean absolute error
0.168
Mean prior absolute error
0.3748
Number of instances
8460
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7385
Per class
Predictive accuracy
0.7502
Prior entropy
1.9991
Recall
0.7502
Per class
Relative absolute error
0.4481
Root mean prior squared error
0.4329
Root mean squared error
0.2722
Root relative squared error
0.6288
SciMark benchmark
942.204

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