DEVELOPMENT... OpenML
Run
159032

Run 159032

Task 2098 (Learning Curve) abalone Uploaded 12-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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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.

20 Evaluation measures

Area under ROC curve
0.5529 ± 0.0153
Per class
Kappa
0.0314 ± 0.0157
KB relative information score
0.0596 ± 0.0139
Mean absolute error
0.0603 ± 0.0004
Mean prior absolute error
0.0618 ± 0
Number of instances
4177
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.1839 ± 0.0117
Prior entropy
3.6031 ± 0.0188
Recall
0.1839 ± 0.0117
Per class
Relative absolute error
0.9765 ± 0.0069
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.1753 ± 0.0009
Root relative squared error
0.9978 ± 0.0054
SciMark benchmark
646.4525
UserCPU time millis
2470
UserCPU time millis testing
10
UserCPU time millis training
2460