DEVELOPMENT... OpenML
Run
50214

Run 50214

Task 1740 (Learning Curve) soybean 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
0.9923 ± 0.0039
Per class
Build CPU time
0.0002
Build memory
673861109.6
F measure
0.8723
Per class
Kappa
0.8682 ± 0.0335
KB relative information score
0.8809 ± 0.0285
Mean absolute error
0.0144 ± 0.003
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8949
Per class
Predictive accuracy
0.8799 ± 0.0305
Prior entropy
3.8358 ± 0.0227
Recall
0.8799 ± 0.0305
Per class
Relative absolute error
0.1503 ± 0.0308
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.0939 ± 0.013
Root relative squared error
0.4284 ± 0.0594
SciMark benchmark
1655.4655