DEVELOPMENT... OpenML
Run
93661

Run 93661

Task 2079 (Supervised Classification) eucalyptus Uploaded 08-12-2014 by Felicia West
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Flow

weka.OneR(3)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(3)_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.

21 Evaluation measures

Area under ROC curve
0.7358
Per class
Build CPU time
0.0027
Build memory
104933081.5435
F measure
0.5898
Per class
Kappa
0.4685
KB relative information score
374.4882
Mean absolute error
0.1668
Mean prior absolute error
0.3132
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6211
Per class
Predictive accuracy
0.5829
Prior entropy
2.2629
Recall
0.5829
Per class
Relative absolute error
0.5327
Root mean prior squared error
0.3957
Root mean squared error
0.4085
Root relative squared error
1.0322
SciMark benchmark
946.8522