Run
297152

Run 297152

Task 64 (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
0.9699 ± 0.0391
Per class
F measure
0.8952 ± 0.1293
Per class
Kappa
0.779 ± 0.2475
KB relative information score
-0.0219 ± 0.0945
Mean absolute error
0.4575 ± 0.0136
Mean prior absolute error
0.457 ± 0.0208
Number of instances
570
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.914 ± 0.069
Per class
Predictive accuracy
0.893 ± 0.1323
Prior entropy
0.9349 ± 0.0618
Recall
0.893 ± 0.1323
Per class
Relative absolute error
1.001 ± 0.058
Root mean prior squared error
0.4773 ± 0.0219
Root mean squared error
0.4591 ± 0.0126
Root relative squared error
0.962 ± 0.0552
SciMark benchmark
1342.2505