Run
25061

Run 25061

Task 95 (Learning Curve) segment 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
0.9837 ± 0.0067
Per class
Build CPU time
0.0002
Build memory
5357528801.8933
F measure
0.9715 ± 0.0115
Per class
Kappa
0.9668 ± 0.0133
KB relative information score
0.9679 ± 0.0123
Mean absolute error
0.0089 ± 0.0033
Mean prior absolute error
0.2449
Number of instances
23100
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.9716 ± 0.0113
Per class
Predictive accuracy
0.9716 ± 0.0114
Prior entropy
2.8074
Recall
0.9716 ± 0.0114
Per class
Relative absolute error
0.0363 ± 0.0133
Root mean prior squared error
0.3499
Root mean squared error
0.09 ± 0.0192
Root relative squared error
0.2572 ± 0.055
SciMark benchmark
1138.6479[692.7087839368514990.4677419388732539.9757729519542976.32776754782972493.7594477804896]