Run
296599

Run 296599

Task 86 (Learning Curve) colic 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
0.8202 ± 0.0673
Per class
F measure
0.8492 ± 0.0606
Per class
Kappa
0.6733 ± 0.1306
KB relative information score
0.5424 ± 0.0963
Mean absolute error
0.2286 ± 0.0393
Mean prior absolute error
0.4662 ± 0.0029
Number of instances
3680
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8501 ± 0.0593
Per class
Predictive accuracy
0.8511 ± 0.0583
Prior entropy
0.9503 ± 0.0087
Recall
0.8511 ± 0.0583
Per class
Relative absolute error
0.4904 ± 0.0842
Root mean prior squared error
0.4827 ± 0.0031
Root mean squared error
0.3573 ± 0.0628
Root relative squared error
0.7403 ± 0.1299
SciMark benchmark
1352.2566
UserCPU time millis
10
UserCPU time millis training
10