DEVELOPMENT... OpenML
Run
50217

Run 50217

Task 1715 (Learning Curve) mfeat-karhunen 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.

21 Evaluation measures

Area under ROC curve
0.9843 ± 0.0072
Per class
Build CPU time
0.0002
Build memory
1088661136.8727
F measure
0.9384 ± 0.0183
Per class
Kappa
0.9317 ± 0.0193
KB relative information score
0.9375 ± 0.0174
Mean absolute error
0.0123 ± 0.0034
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9424 ± 0.0176
Per class
Predictive accuracy
0.9385 ± 0.0173
Prior entropy
3.3219
Recall
0.9385 ± 0.0173
Per class
Relative absolute error
0.0684 ± 0.0186
Root mean prior squared error
0.3
Root mean squared error
0.1076 ± 0.0145
Root relative squared error
0.3587 ± 0.0482
SciMark benchmark
1970.0822

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