DEVELOPMENT... OpenML
Run
50209

Run 50209

Task 1723 (Learning Curve) mushroom 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
1
Per class
Build CPU time
0.0002
Build memory
873131385.6533
F measure
1
Per class
Kappa
1
KB relative information score
0.9999 ± 0.0001
Mean absolute error
0.0001 ± 0
Mean prior absolute error
0.4994 ± 0
Number of instances
8124
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
1
Per class
Predictive accuracy
1
Prior entropy
0.9991 ± 0.0001
Recall
1
Per class
Relative absolute error
0.0001 ± 0.0001
Root mean prior squared error
0.4997 ± 0
Root mean squared error
0.0008 ± 0.0007
Root relative squared error
0.0017 ± 0.0013
SciMark benchmark
1655.4655