DEVELOPMENT... OpenML
Run
31730

Run 31730

Task 283 (Supervised Classification) vehicle Uploaded 13-10-2014 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)_I160
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
0.9313
Per class
Build CPU time
2.143
Build memory
182077496
F measure
0.7339
Per class
Kappa
0.6518
KB relative information score
182.5848
Mean absolute error
0.1613
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
0.7385
Per class
Predictive accuracy
0.7384
Prior entropy
1.9991
Recall
0.7384
Per class
Relative absolute error
0.4303
Root mean prior squared error
0.4328
Root mean squared error
0.2773
Root relative squared error
0.6408
SciMark benchmark
933.1424