DEVELOPMENT... OpenML
Run
50191

Run 50191

Task 2098 (Learning Curve) abalone Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.KStar(2)John G. Cleary, Leonard E. Trigg: K*: An Instance-based Learner Using an Entropic Distance Measure. In: 12th International Conference on Machine Learning, 108-114, 1995.
weka.KStar(2)_B20
weka.KStar(2)_Ma

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.

19 Evaluation measures

Area under ROC curve
0.7437 ± 0.0086
Per class
Build CPU time
0.0001
Build memory
665089823.7538
Kappa
0.1465 ± 0.0183
KB relative information score
0.2459 ± 0.0123
Mean absolute error
0.0555 ± 0.0003
Mean prior absolute error
0.0618 ± 0
Number of instances
4177
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.2466 ± 0.0166
Prior entropy
3.6031 ± 0.0188
Recall
0.2466 ± 0.0166
Per class
Relative absolute error
0.8987 ± 0.0053
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.1718 ± 0.0011
Root relative squared error
0.9778 ± 0.0062
SciMark benchmark
1652.2022