DEVELOPMENT... OpenML
Run
50206

Run 50206

Task 1719 (Learning Curve) mfeat-pixel 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
0.9909 ± 0.007
Per class
Build CPU time
0.0002
Build memory
951274103.9273
F measure
0.9628 ± 0.017
Per class
Kappa
0.9589 ± 0.0187
KB relative information score
0.9616 ± 0.0171
Mean absolute error
0.0076 ± 0.0032
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
0.9636 ± 0.0165
Per class
Predictive accuracy
0.963 ± 0.0169
Prior entropy
3.3219
Recall
0.963 ± 0.0169
Per class
Relative absolute error
0.042 ± 0.0178
Root mean prior squared error
0.3
Root mean squared error
0.0845 ± 0.0191
Root relative squared error
0.2817 ± 0.0636
SciMark benchmark
1794.5417

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