Run
297157

Run 297157

Task 68 (Learning Curve) autos 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
0.793 ± 0.0469
Per class
Kappa
0.4956 ± 0.1381
KB relative information score
0.087 ± 0.0278
Mean absolute error
0.2255 ± 0.0009
Mean prior absolute error
0.2209 ± 0.0014
Number of instances
2050
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.6263 ± 0.0996
Prior entropy
2.2802 ± 0.0732
Recall
0.6263 ± 0.0996
Per class
Relative absolute error
1.0208 ± 0.0071
Root mean prior squared error
0.3318 ± 0.0021
Root mean squared error
0.3296 ± 0.0012
Root relative squared error
0.9934 ± 0.0066
SciMark benchmark
1334.4826