Run
161588

Run 161588

Task 1752 (Learning Curve) vehicle 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
0.7299 ± 0.0137
Per class
F measure
0.2487 ± 0.0496
Per class
Kappa
0.0974 ± 0.0383
KB relative information score
0.0505 ± 0.0047
Mean absolute error
0.366 ± 0.001
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.5678 ± 0.14
Per class
Predictive accuracy
0.3239 ± 0.0264
Prior entropy
1.9991 ± 0.0005
Recall
0.3239 ± 0.0264
Per class
Relative absolute error
0.9763 ± 0.0026
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.4238 ± 0.001
Root relative squared error
0.9788 ± 0.0023
SciMark benchmark
1060.8407