DEVELOPMENT... OpenML
Run
50203

Run 50203

Task 1720 (Learning Curve) car 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
0.9955 ± 0.0021
Per class
Build CPU time
0.0001
Build memory
1097287202.6182
F measure
0.8492 ± 0.004
Per class
Kappa
0.687 ± 0.028
KB relative information score
0.5123 ± 0.0139
Mean absolute error
0.1422 ± 0.0028
Mean prior absolute error
0.229 ± 0.0007
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8744 ± 0.0067
Per class
Predictive accuracy
0.8709 ± 0.0103
Prior entropy
1.2058 ± 0.0093
Recall
0.8709 ± 0.0103
Per class
Relative absolute error
0.6208 ± 0.0126
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.2278 ± 0.0038
Root relative squared error
0.6737 ± 0.0115
SciMark benchmark
1652.2022