Run
297151

Run 297151

Task 62 (Learning Curve) anneal 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.

22 Evaluation measures

Area under ROC curve
0.8822 ± 0.0366
Per class
F measure
0.9781 ± 0.0152
Per class
Kappa
0.9457 ± 0.0392
KB relative information score
-0.6809 ± 0.0361
Mean absolute error
0.2472 ± 0.001
Mean prior absolute error
0.1343 ± 0.0012
Number of instances
8980
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9794 ± 0.0125
Per class
Predictive accuracy
0.9781 ± 0.0159
Prior entropy
1.1915 ± 0.0248
Recall
0.9781 ± 0.0159
Per class
Relative absolute error
1.8406 ± 0.0182
Root mean prior squared error
0.2582 ± 0.0023
Root mean squared error
0.3397 ± 0.001
Root relative squared error
1.3154 ± 0.0126
SciMark benchmark
1342.2505