Run
25620

Run 25620

Task 94 (Learning Curve) dermatology 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.

21 Evaluation measures

Area under ROC curve
0.962 ± 0.0227
Per class
Build CPU time
0.0095
Build memory
5555961985.9067
F measure
0.8828 ± 0.0521
Per class
Kappa
0.852 ± 0.0665
KB relative information score
0.8377 ± 0.0626
Mean absolute error
0.0494 ± 0.0171
Mean prior absolute error
0.2664 ± 0.0004
Number of instances
3660
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.8843 ± 0.0451
Per class
Predictive accuracy
0.8817 ± 0.0535
Prior entropy
2.4327 ± 0.0089
Recall
0.8817 ± 0.0535
Per class
Relative absolute error
0.1853 ± 0.0643
Root mean prior squared error
0.3649 ± 0.0006
Root mean squared error
0.1855 ± 0.0433
Root relative squared error
0.5083 ± 0.1187
SciMark benchmark
1080.7025[583.9439727762666955.8308417694717506.72102183240213921.09628967237882435.920456382672]