Run
297172

Run 297172

Task 86 (Learning Curve) colic 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
0.5181 ± 0.043
Per class
F measure
0.4857 ± 0.0255
Per class
Kappa
-0.0141 ± 0.0318
KB relative information score
-0.1151 ± 0.0113
Mean absolute error
0.4988 ± 0.0012
Mean prior absolute error
0.4662 ± 0.0029
Number of instances
3680
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.4357 ± 0.103
Per class
Predictive accuracy
0.6226 ± 0.0183
Prior entropy
0.9503 ± 0.0087
Recall
0.6226 ± 0.0183
Per class
Relative absolute error
1.07 ± 0.0068
Root mean prior squared error
0.4827 ± 0.0031
Root mean squared error
0.4989 ± 0.0011
Root relative squared error
1.0336 ± 0.0065
SciMark benchmark
1342.2505