Run
161572

Run 161572

Task 1722 (Learning Curve) cmc Uploaded 16-02-2015 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12
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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
0.5232 ± 0.0104
Per class
F measure
0.2558
Per class
Kappa
0.0003 ± 0.0008
KB relative information score
0.016 ± 0.0016
Mean absolute error
0.4439 ± 0.0002
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.1826
Per class
Predictive accuracy
0.427 ± 0.0033
Prior entropy
1.539 ± 0.0029
Recall
0.427 ± 0.0033
Per class
Relative absolute error
1.0304 ± 0.0012
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.4709 ± 0.0002
Root relative squared error
1.0146 ± 0.0012
SciMark benchmark
1092.7668