Run
496692

Run 496692

Task 10052 (Learning Curve) hiva_agnostic Uploaded 03-12-2015 by Joaquin Vanschoren
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Flow

weka.JRip(5)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(5)_F3
weka.JRip(5)_N2.0
weka.JRip(5)_O2
weka.JRip(5)_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
0.6204 ± 0.0733
Per class
F measure
0.9593 ± 0.0103
Per class
Kappa
0.315 ± 0.1753
KB relative information score
379.4644 ± 73.0317
Mean absolute error
0.0563 ± 0.0067
Mean prior absolute error
0.0682 ± 0.0007
Number of instances
4229
Per class
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.9569 ± 0.012
Per class
Predictive accuracy
0.9655 ± 0.0089
Prior entropy
0.221
Recall
0.9655 ± 0.0089
Per class
Relative absolute error
0.8255 ± 0.0954
Root mean prior squared error
0.1844 ± 0.0018
Root mean squared error
0.1774 ± 0.0194
Root relative squared error
0.9624 ± 0.1028
SciMark benchmark
812.774
UserCPU time millis
45850
UserCPU time millis testing
10
UserCPU time millis training
45840