Run
297155

Run 297155

Task 66 (Learning Curve) audiology 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
0.7359 ± 0.0325
Per class
Kappa
0.6002 ± 0.086
KB relative information score
0.0259 ± 0.0328
Mean absolute error
0.0795 ± 0
Mean prior absolute error
0.0724 ± 0.0004
Number of instances
2260
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.6721 ± 0.0706
Prior entropy
3.4373 ± 0.1528
Recall
0.6721 ± 0.0706
Per class
Relative absolute error
1.0988 ± 0.0062
Root mean prior squared error
0.1893 ± 0.0011
Root mean squared error
0.1991 ± 0.0002
Root relative squared error
1.052 ± 0.0062
SciMark benchmark
1334.4826