OpenML
46579

Run 46579

Task 1701 (Learning Curve) anneal Uploaded 03-11-2014 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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.

19 Evaluation measures

Area under ROC curve
0.6565 ± 0.01
Per class
Build CPU time
0.0007
Build memory
164088887.7333
Kappa
0.4347 ± 0.0221
KB relative information score
0.4713 ± 0.0186
Mean absolute error
0.0546 ± 0.0018
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.8363 ± 0.0053
Prior entropy
1.1915 ± 0.026
Recall
0.8363 ± 0.0053
Per class
Relative absolute error
0.4063 ± 0.0116
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.2336 ± 0.0038
Root relative squared error
0.9046 ± 0.0125
SciMark benchmark
1736.8514