DEVELOPMENT... OpenML
Run
33597

Run 33597

Task 1933 (Supervised Classification) vehicle Uploaded 15-10-2014 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)_I160
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
0.9328
Per class
Build CPU time
24.7841
Build memory
845422870.3631
F measure
0.7422
Per class
Kappa
0.6672
KB relative information score
5468.8063
Mean absolute error
0.1681
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
0.7382
Per class
Predictive accuracy
0.7504
Prior entropy
1.9991
Recall
0.7504
Per class
Relative absolute error
0.4484
Root mean prior squared error
0.4329
Root mean squared error
0.2719
Root relative squared error
0.6281
SciMark benchmark
938.1283