Run
25042

Run 25042

Task 62 (Learning Curve) anneal Uploaded 16-08-2014 by Jan van Rijn
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Flow

weka.IBk(2)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.9116 ± 0.0418
Per class
Build CPU time
0.0002
Build memory
279107895.1289
F measure
0.9518 ± 0.0208
Per class
Kappa
0.8787 ± 0.0528
KB relative information score
0.8601 ± 0.0559
Mean absolute error
0.0175 ± 0.0063
Mean prior absolute error
0.1343 ± 0.0012
Number of instances
8980
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.13.0-32-generic]
Precision
0.9549 ± 0.0173
Per class
Predictive accuracy
0.9539 ± 0.0192
Prior entropy
1.1915 ± 0.0248
Recall
0.9539 ± 0.0192
Per class
Relative absolute error
0.1299 ± 0.0468
Root mean prior squared error
0.2582 ± 0.0023
Root mean squared error
0.1237 ± 0.0276
Root relative squared error
0.479 ± 0.1069
SciMark benchmark
775.9981[469.1340932148987973.7013819753541408.57755533778607770.7851120633991257.7921058814234]