DEVELOPMENT... OpenML
Run
34309

Run 34309

Task 283 (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
0.9329
Per class
Build CPU time
6.952
Build memory
102126216
F measure
0.738
Per class
Kappa
0.6678
KB relative information score
174.6091
Mean absolute error
0.1772
Mean prior absolute error
0.3748
Number of instances
279
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7572
Per class
Predictive accuracy
0.7491
Prior entropy
1.9991
Recall
0.7491
Per class
Relative absolute error
0.4728
Root mean prior squared error
0.4328
Root mean squared error
0.2804
Root relative squared error
0.6478
SciMark benchmark
944.3627