DEVELOPMENT... OpenML
Run
52829

Run 52829

Task 2097 (Learning Curve) satimage 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
0.9255 ± 0.0074
Per class
Build CPU time
0.8062
Build memory
3128350094.8
F measure
0.8747 ± 0.0124
Per class
Kappa
0.8489 ± 0.0145
KB relative information score
0.8506 ± 0.0147
Mean absolute error
0.0407 ± 0.0039
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8732 ± 0.0127
Per class
Predictive accuracy
0.8779 ± 0.0116
Prior entropy
2.4834 ± 0.0009
Recall
0.8779 ± 0.0116
Per class
Relative absolute error
0.1507 ± 0.0143
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.2017 ± 0.0095
Root relative squared error
0.5489 ± 0.0257
SciMark benchmark
1629.4508