DEVELOPMENT... OpenML
Run
57943

Run 57943

Task 2094 (Learning Curve) adult Uploaded 14-11-2014 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
0.8024 ± 0.0062
Per class
Build CPU time
0.0009
Build memory
971237502.16
F measure
0.779 ± 0.0056
Per class
Kappa
0.3846 ± 0.0153
KB relative information score
0.2767 ± 0.0145
Mean absolute error
0.2373 ± 0.0043
Mean prior absolute error
0.3641 ± 0
Number of instances
48842
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7764 ± 0.0056
Per class
Predictive accuracy
0.7823 ± 0.0059
Prior entropy
0.7938 ± 0.0002
Recall
0.7823 ± 0.0059
Per class
Relative absolute error
0.6519 ± 0.0118
Root mean prior squared error
0.4266 ± 0.0001
Root mean squared error
0.408 ± 0.0049
Root relative squared error
0.9562 ± 0.0115
SciMark benchmark
1896.1731