DEVELOPMENT... OpenML
Run
173297

Run 173297

Task 283 (Supervised Classification) vehicle Uploaded 21-02-2015 by Jason
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Flow

weka.OneR(17)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(17)_B6

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.

22 Evaluation measures

Area under ROC curve
0.675
Per class
F measure
0.4996
Per class
Kappa
0.3495
KB relative information score
113.8397
Mean absolute error
0.2455
Mean prior absolute error
0.3748
Number of instances
279
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5132
Per class
Predictive accuracy
0.509
Prior entropy
1.9991
Recall
0.509
Per class
Relative absolute error
0.6551
Root mean prior squared error
0.4328
Root mean squared error
0.4955
Root relative squared error
1.1448
SciMark benchmark
1465.2979