Run
161598

Run 161598

Task 2102 (Learning Curve) eucalyptus 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
0.7712 ± 0.0136
Per class
F measure
0.2001 ± 0.023
Per class
Kappa
0.0912 ± 0.0352
KB relative information score
0.0681 ± 0.0039
Mean absolute error
0.3139 ± 0.0009
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.3307 ± 0.0418
Per class
Predictive accuracy
0.2989 ± 0.0275
Prior entropy
2.2621 ± 0.0043
Recall
0.2989 ± 0.0275
Per class
Relative absolute error
1.002 ± 0.0025
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3927 ± 0.001
Root relative squared error
0.9924 ± 0.0023
SciMark benchmark
1092.7668