DEVELOPMENT... OpenML
Run
50202

Run 50202

Task 1711 (Learning Curve) mfeat-factors 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
0.5958 ± 0.0113
Per class
Build CPU time
0.0002
Build memory
700006618.8364
F measure
0.1537
Per class
Kappa
0.0839 ± 0.0191
KB relative information score
0.1005 ± 0.0126
Mean absolute error
0.1619 ± 0.0023
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
0.9108
Per class
Predictive accuracy
0.1755 ± 0.0172
Prior entropy
3.3219
Recall
0.1755 ± 0.0172
Per class
Relative absolute error
0.8995 ± 0.0126
Root mean prior squared error
0.3
Root mean squared error
0.2845 ± 0.002
Root relative squared error
0.9484 ± 0.0066
SciMark benchmark
1652.2022