Run
25082

Run 25082

Task 116 (Learning Curve) ionosphere 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
0.83 ± 0.0687
Per class
Build CPU time
0.0001
Build memory
1246618994.64
F measure
0.8636 ± 0.0588
Per class
Kappa
0.6979 ± 0.1292
KB relative information score
0.7024 ± 0.1152
Mean absolute error
0.133 ± 0.0511
Mean prior absolute error
0.4604 ± 0.0038
Number of instances
3510
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.878 ± 0.0458
Per class
Predictive accuracy
0.8692 ± 0.0515
Prior entropy
0.9418 ± 0.0113
Recall
0.8692 ± 0.0515
Per class
Relative absolute error
0.2889 ± 0.111
Root mean prior squared error
0.4797 ± 0.004
Root mean squared error
0.3605 ± 0.0769
Root relative squared error
0.7515 ± 0.1603
SciMark benchmark
1156.0263[698.5345032662543987.9287345265587539.0270244673474982.18053723411952572.4604680902976]