Run
54252

Run 54252

Task 1710 (Learning Curve) balance-scale Uploaded 08-11-2014 by Jan van Rijn
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  • curves 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
0.6142 ± 0.0295
Per class
Build CPU time
0.0002
Build memory
1017618513.6
Kappa
0.2285 ± 0.0589
KB relative information score
0.2611 ± 0.0481
Mean absolute error
0.2773 ± 0.0211
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.584 ± 0.0317
Prior entropy
1.3181 ± 0.0124
Recall
0.584 ± 0.0317
Per class
Relative absolute error
0.7303 ± 0.0552
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.5266 ± 0.02
Root relative squared error
1.209 ± 0.0455
SciMark benchmark
1615.5755