Run
297206

Run 297206

Task 1703 (Learning Curve) labor 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
0.9676 ± 0.0451
Per class
F measure
0.8796 ± 0.1152
Per class
Kappa
0.745 ± 0.2539
KB relative information score
-0.0227 ± 0.0649
Mean absolute error
0.4578 ± 0.0171
Mean prior absolute error
0.457 ± 0.0218
Number of instances
57
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8955 ± 0.1031
Per class
Predictive accuracy
0.8772 ± 0.1166
Prior entropy
0.9349 ± 0.0648
Recall
0.8772 ± 0.1166
Per class
Relative absolute error
1.0018 ± 0.04
Root mean prior squared error
0.4773 ± 0.023
Root mean squared error
0.4595 ± 0.0156
Root relative squared error
0.9629 ± 0.0368
SciMark benchmark
1342.2505