DEVELOPMENT... OpenML
Run
50207

Run 50207

Task 1721 (Learning Curve) mfeat-zernike 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
0.9017 ± 0.0108
Per class
Build CPU time
0.0002
Build memory
1072956500
F measure
0.7547 ± 0.0307
Per class
Kappa
0.7233 ± 0.039
KB relative information score
0.7494 ± 0.0319
Mean absolute error
0.0502 ± 0.0062
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7597 ± 0.0267
Per class
Predictive accuracy
0.751 ± 0.0351
Prior entropy
3.3219
Recall
0.751 ± 0.0351
Per class
Relative absolute error
0.279 ± 0.0345
Root mean prior squared error
0.3
Root mean squared error
0.2153 ± 0.013
Root relative squared error
0.7175 ± 0.0432
SciMark benchmark
1652.2022