DEVELOPMENT... OpenML
Run
50212

Run 50212

Task 1735 (Learning Curve) segment 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
0.9986 ± 0.0016
Per class
Build CPU time
0.0001
Build memory
647608140.8667
F measure
0.9714 ± 0.0141
Per class
Kappa
0.9667 ± 0.0165
KB relative information score
0.9714 ± 0.0126
Mean absolute error
0.0089 ± 0.0037
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9715 ± 0.0137
Per class
Predictive accuracy
0.9714 ± 0.0142
Prior entropy
2.8074
Recall
0.9714 ± 0.0142
Per class
Relative absolute error
0.0362 ± 0.0149
Root mean prior squared error
0.3499
Root mean squared error
0.0792 ± 0.0193
Root relative squared error
0.2263 ± 0.0552
SciMark benchmark
1655.4655