Run
25596

Run 25596

Task 70 (Learning Curve) balance-scale Uploaded 19-08-2014 by Jan van Rijn
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Flow

weka.JRip(2)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.86 ± 0.0394
Per class
Build CPU time
0.0106
Build memory
3267131448.75
Kappa
0.6469 ± 0.0701
KB relative information score
0.5194 ± 0.0528
Mean absolute error
0.1853 ± 0.0216
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
6250
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Predictive accuracy
0.8096 ± 0.0379
Prior entropy
1.3181 ± 0.0119
Recall
0.8096 ± 0.0379
Per class
Relative absolute error
0.4878 ± 0.0566
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3286 ± 0.0311
Root relative squared error
0.7544 ± 0.0713
SciMark benchmark
1108.5855[664.2195467554656962.0344422444904526.602222399363949.79710473114892440.274145723543]