DEVELOPMENT... OpenML
Run
57928

Run 57928

Task 1764 (Learning Curve) electricity 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
0.938 ± 0.0025
Per class
Build CPU time
0.0004
Build memory
1654154250
F measure
0.868 ± 0.0038
Per class
Kappa
0.7292 ± 0.0079
KB relative information score
0.6154 ± 0.0063
Mean absolute error
0.1995 ± 0.0029
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8681 ± 0.0039
Per class
Predictive accuracy
0.8684 ± 0.0038
Prior entropy
0.9835 ± 0
Recall
0.8684 ± 0.0038
Per class
Relative absolute error
0.4084 ± 0.0059
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.31 ± 0.0035
Root relative squared error
0.6272 ± 0.007
SciMark benchmark
1645.4276