DEVELOPMENT... OpenML
Run
32318

Run 32318

Task 1933 (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
0.9306
Per class
Build CPU time
3.0571
Build memory
1069238724.7499
F measure
0.7411
Per class
Kappa
0.6629
KB relative information score
5701.4554
Mean absolute error
0.152
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
0.7373
Per class
Predictive accuracy
0.7472
Prior entropy
1.9991
Recall
0.7472
Per class
Relative absolute error
0.4054
Root mean prior squared error
0.4329
Root mean squared error
0.2742
Root relative squared error
0.6333
SciMark benchmark
946.0904