Run
296635

Run 296635

Task 1703 (Learning Curve) labor Uploaded 17-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.JRip(4)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(4)_F3
weka.JRip(4)_N2.0
weka.JRip(4)_O2
weka.JRip(4)_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.

22 Evaluation measures

Area under ROC curve
0.773 ± 0.24
Per class
F measure
0.8322 ± 0.1913
Per class
Kappa
0.6231 ± 0.4862
KB relative information score
0.6178 ± 0.3685
Mean absolute error
0.1725 ± 0.1555
Mean prior absolute error
0.457 ± 0.0218
Number of instances
57
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.855 ± 0.2029
Per class
Predictive accuracy
0.8421 ± 0.1664
Prior entropy
0.9349 ± 0.0648
Recall
0.8421 ± 0.1664
Per class
Relative absolute error
0.3775 ± 0.3453
Root mean prior squared error
0.4773 ± 0.023
Root mean squared error
0.3863 ± 0.2478
Root relative squared error
0.8094 ± 0.5297
SciMark benchmark
1319.4325