DEVELOPMENT... OpenML
Run
52860

Run 52860

Task 1742 (Learning Curve) spambase 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
0.9257 ± 0.0129
Per class
Build CPU time
0.688
Build memory
645648996.1714
F measure
0.9265 ± 0.0133
Per class
Kappa
0.8466 ± 0.0275
KB relative information score
0.8426 ± 0.0286
Mean absolute error
0.0737 ± 0.0134
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.927 ± 0.0129
Per class
Predictive accuracy
0.9263 ± 0.0134
Prior entropy
0.9674 ± 0.0006
Recall
0.9263 ± 0.0134
Per class
Relative absolute error
0.1543 ± 0.028
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.2714 ± 0.0253
Root relative squared error
0.5555 ± 0.0518
SciMark benchmark
1615.5755