DEVELOPMENT... OpenML
Run
52835

Run 52835

Task 1710 (Learning Curve) balance-scale 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
0.8344 ± 0.0331
Per class
Build CPU time
0.0036
Build memory
1581746042.3
F measure
0.7887 ± 0.0347
Per class
Kappa
0.6383 ± 0.0757
KB relative information score
0.5855 ± 0.0706
Mean absolute error
0.1355 ± 0.0313
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7811 ± 0.0246
Per class
Predictive accuracy
0.7968 ± 0.0469
Prior entropy
1.3181 ± 0.0124
Recall
0.7968 ± 0.0469
Per class
Relative absolute error
0.3567 ± 0.0829
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3681 ± 0.0416
Root relative squared error
0.845 ± 0.0968
SciMark benchmark
1629.4508