DEVELOPMENT... OpenML
Run
52840

Run 52840

Task 1715 (Learning Curve) mfeat-karhunen 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
0.9503 ± 0.013
Per class
Build CPU time
0.2463
Build memory
4637232550.4727
F measure
0.9101 ± 0.0239
Per class
Kappa
0.9006 ± 0.026
KB relative information score
0.9064 ± 0.0245
Mean absolute error
0.0179 ± 0.0047
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
0.9144 ± 0.0203
Per class
Predictive accuracy
0.9105 ± 0.0234
Prior entropy
3.3219
Recall
0.9105 ± 0.0234
Per class
Relative absolute error
0.0994 ± 0.026
Root mean prior squared error
0.3
Root mean squared error
0.1338 ± 0.0179
Root relative squared error
0.446 ± 0.0597
SciMark benchmark
1629.4508