DEVELOPMENT... OpenML
Run
52832

Run 52832

Task 2102 (Learning Curve) eucalyptus Uploaded 07-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.NNge(2)Brent Martin (1995). Instance-Based learning: Nearest Neighbor With Generalization. Hamilton, New Zealand. Sylvain Roy (2002). Nearest Neighbor With Generalization. Christchurch, New Zealand.
weka.NNge(2)_G5
weka.NNge(2)_I5

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
0.7103 ± 0.0317
Per class
Build CPU time
0.02
Build memory
3317302089.3
F measure
0.5433 ± 0.0492
Per class
Kappa
0.4166 ± 0.0623
KB relative information score
0.4619 ± 0.0558
Mean absolute error
0.1837 ± 0.0203
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.5482 ± 0.0485
Per class
Predictive accuracy
0.5408 ± 0.0508
Prior entropy
2.2621 ± 0.0043
Recall
0.5408 ± 0.0508
Per class
Relative absolute error
0.5865 ± 0.0649
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.4286 ± 0.0242
Root relative squared error
1.0831 ± 0.0611
SciMark benchmark
1629.4508