OpenML
47633

Run 47633

Task 86 (Learning Curve) colic Uploaded 05-11-2014 by Jan van Rijn
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  • curves 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.

21 Evaluation measures

Area under ROC curve
0.8139 ± 0.0675
Per class
Build CPU time
0.0005
Build memory
1537768251.3867
F measure
0.8171 ± 0.0623
Per class
Kappa
0.6129 ± 0.1306
KB relative information score
0.5916 ± 0.1384
Mean absolute error
0.1848 ± 0.0625
Mean prior absolute error
0.4662 ± 0.0029
Number of instances
3680
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.822 ± 0.0612
Per class
Predictive accuracy
0.8152 ± 0.0625
Prior entropy
0.9503 ± 0.0087
Recall
0.8152 ± 0.0625
Per class
Relative absolute error
0.3964 ± 0.1342
Root mean prior squared error
0.4827 ± 0.0031
Root mean squared error
0.4299 ± 0.0738
Root relative squared error
0.8906 ± 0.1532
SciMark benchmark
1737.9306