Run
296578

Run 296578

Task 64 (Learning Curve) labor Uploaded 17-03-2015 by Joaquin Vanschoren
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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
0.8121 ± 0.1706
Per class
F measure
0.8244 ± 0.1499
Per class
Kappa
0.6091 ± 0.3512
KB relative information score
0.591 ± 0.3256
Mean absolute error
0.1834 ± 0.136
Mean prior absolute error
0.457 ± 0.0208
Number of instances
570
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.826 ± 0.1307
Per class
Predictive accuracy
0.8281 ± 0.1467
Prior entropy
0.9349 ± 0.0618
Recall
0.8281 ± 0.1467
Per class
Relative absolute error
0.4013 ± 0.3037
Root mean prior squared error
0.4773 ± 0.0219
Root mean squared error
0.395 ± 0.2129
Root relative squared error
0.8276 ± 0.4524
SciMark benchmark
1335.3721