Run
297203

Run 297203

Task 116 (Learning Curve) ionosphere Uploaded 17-03-2015 by Joaquin Vanschoren
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Flow

weka.HyperPipes(1)Weka implementation of HyperPipes

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.

20 Evaluation measures

Area under ROC curve
0.9446 ± 0.0427
Per class
KB relative information score
-0.1179 ± 0.0165
Mean absolute error
0.4918 ± 0.0015
Mean prior absolute error
0.4604 ± 0.0038
Number of instances
3510
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.359 ± 0.0136
Prior entropy
0.9418 ± 0.0113
Recall
0.359 ± 0.0136
Per class
Relative absolute error
1.0681 ± 0.01
Root mean prior squared error
0.4797 ± 0.004
Root mean squared error
0.492 ± 0.0015
Root relative squared error
1.0257 ± 0.0095
SciMark benchmark
1342.2505