Run
297176

Run 297176

Task 90 (Learning Curve) credit-g 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
0.5082 ± 0.0137
Per class
F measure
0.5776 ± 0.0132
Per class
Kappa
0.0004 ± 0.0146
KB relative information score
-0.3329 ± 0.0006
Mean absolute error
0.4998 ± 0.0002
Mean prior absolute error
0.4202
Number of instances
10000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5865 ± 0.1432
Per class
Predictive accuracy
0.699 ± 0.0052
Prior entropy
0.8813
Recall
0.699 ± 0.0052
Per class
Relative absolute error
1.1895 ± 0.0004
Root mean prior squared error
0.4583
Root mean squared error
0.4998 ± 0.0002
Root relative squared error
1.0907 ± 0.0004
SciMark benchmark
1342.2505