Run
297162

Run 297162

Task 73 (Learning Curve) mfeat-fourier 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
0.8876 ± 0.007
Per class
F measure
0.5139 ± 0.0314
Per class
Kappa
0.4564 ± 0.031
KB relative information score
0.0246 ± 0.0007
Mean absolute error
0.1788 ± 0
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6198 ± 0.0347
Per class
Predictive accuracy
0.5108 ± 0.0279
Prior entropy
3.3219
Recall
0.5108 ± 0.0279
Per class
Relative absolute error
0.9935 ± 0.0002
Root mean prior squared error
0.3
Root mean squared error
0.2981 ± 0.0001
Root relative squared error
0.9937 ± 0.0002
SciMark benchmark
1334.4826
UserCPU time millis
20
UserCPU time millis testing
20