Run
296590

Run 296590

Task 62 (Learning Curve) anneal 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
0.9457 ± 0.0367
Per class
F measure
0.9486 ± 0.0252
Per class
Kappa
0.8718 ± 0.0616
KB relative information score
0.8372 ± 0.0621
Mean absolute error
0.0239 ± 0.0073
Mean prior absolute error
0.1343 ± 0.0012
Number of instances
8980
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9488 ± 0.0235
Per class
Predictive accuracy
0.9489 ± 0.0248
Prior entropy
1.1915 ± 0.0248
Recall
0.9489 ± 0.0248
Per class
Relative absolute error
0.1779 ± 0.054
Root mean prior squared error
0.2582 ± 0.0023
Root mean squared error
0.1221 ± 0.0299
Root relative squared error
0.4728 ± 0.1155
SciMark benchmark
1330.9895
UserCPU time millis
70
UserCPU time millis training
70