Run
297184

Run 297184

Task 98 (Learning Curve) sonar 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
0.6322 ± 0.0997
Per class
F measure
0.5585 ± 0.0961
Per class
Kappa
0.1745 ± 0.1552
KB relative information score
-0.002 ± 0.0057
Mean absolute error
0.4984 ± 0.0012
Mean prior absolute error
0.4978 ± 0.0015
Number of instances
2080
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6125 ± 0.1073
Per class
Predictive accuracy
0.576 ± 0.0821
Prior entropy
0.9967 ± 0.0043
Recall
0.576 ± 0.0821
Per class
Relative absolute error
1.0013 ± 0.0039
Root mean prior squared error
0.4989 ± 0.0015
Root mean squared error
0.4984 ± 0.0011
Root relative squared error
0.9991 ± 0.0038
SciMark benchmark
1334.4826