Run
161554

Run 161554

Task 1710 (Learning Curve) balance-scale 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.

20 Evaluation measures

Area under ROC curve
0.5
Per class
KB relative information score
-0.09 ± 0.0099
Mean absolute error
0.4444
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.4608 ± 0.0059
Prior entropy
1.3181 ± 0.0124
Recall
0.4608 ± 0.0059
Per class
Relative absolute error
1.1703 ± 0.0039
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.4714
Root relative squared error
1.0823 ± 0.0036
SciMark benchmark
1060.8407