Run
25085

Run 25085

Task 116 (Learning Curve) ionosphere Uploaded 16-08-2014 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.

21 Evaluation measures

Area under ROC curve
0.8835 ± 0.0595
Per class
Build CPU time
0.0145
Build memory
2057572774.28
F measure
0.8947 ± 0.0516
Per class
Kappa
0.7707 ± 0.1117
KB relative information score
0.7012 ± 0.1009
Mean absolute error
0.1436 ± 0.0437
Mean prior absolute error
0.4604 ± 0.0038
Number of instances
3510
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.8945 ± 0.05
Per class
Predictive accuracy
0.8949 ± 0.0511
Prior entropy
0.9418 ± 0.0113
Recall
0.8949 ± 0.0511
Per class
Relative absolute error
0.3119 ± 0.0948
Root mean prior squared error
0.4797 ± 0.004
Root mean squared error
0.3091 ± 0.0763
Root relative squared error
0.6444 ± 0.159
SciMark benchmark
1143.6585[680.8121059046156988.1820916309184524.928771925854972.3442638671232552.025081338991]