DEVELOPMENT... OpenML
Run
34297

Run 34297

Task 1817 (Supervised Classification) vehicle Uploaded 18-10-2014 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
0.9265
Per class
Build CPU time
4.8692
Build memory
1587699551.2
F measure
0.7391
Per class
Kappa
0.6634
KB relative information score
2586.7759
Mean absolute error
0.1838
Mean prior absolute error
0.3748
Number of instances
4230
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7344
Per class
Predictive accuracy
0.7475
Prior entropy
1.9991
Recall
0.7475
Per class
Relative absolute error
0.4903
Root mean prior squared error
0.4329
Root mean squared error
0.2831
Root relative squared error
0.654
SciMark benchmark
944.2097