Run
52857

Run 52857

Task 1752 (Learning Curve) vehicle Uploaded 07-11-2014 by Jan van Rijn
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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
0.7586 ± 0.0361
Per class
Build CPU time
0.0251
Build memory
4534499619.6444
F measure
0.6261 ± 0.0587
Per class
Kappa
0.5186 ± 0.0722
KB relative information score
0.5649 ± 0.0653
Mean absolute error
0.1803 ± 0.0268
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6318 ± 0.0542
Per class
Predictive accuracy
0.6395 ± 0.0536
Prior entropy
1.9991 ± 0.0005
Recall
0.6395 ± 0.0536
Per class
Relative absolute error
0.4809 ± 0.0715
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.4246 ± 0.0312
Root relative squared error
0.9807 ± 0.0721
SciMark benchmark
1629.4508