Run
297175

Run 297175

Task 88 (Learning Curve) credit-approval 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
0.5523 ± 0.0376
Per class
F measure
0.2836 ± 0.0238
Per class
Kappa
-0.0007 ± 0.0232
KB relative information score
-0.0161 ± 0.003
Mean absolute error
0.4991 ± 0.0007
Mean prior absolute error
0.494 ± 0.0007
Number of instances
6900
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.4955 ± 0.2568
Per class
Predictive accuracy
0.4457 ± 0.0145
Prior entropy
0.9912 ± 0.0021
Recall
0.4457 ± 0.0145
Per class
Relative absolute error
1.0104 ± 0.002
Root mean prior squared error
0.497 ± 0.0007
Root mean squared error
0.4991 ± 0.0007
Root relative squared error
1.0044 ± 0.002
SciMark benchmark
1342.2505