Run
504902

Run 504902

Task 1736 (Learning Curve) diabetes Uploaded 03-01-2016 by Joaquin Vanschoren
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Flow

weka.Ridor(4)Weka implementation of Ridor
weka.Ridor(4)_F3
weka.Ridor(4)_S1
weka.Ridor(4)_N2.0

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
0.6742 ± 0.075
Per class
F measure
0.714 ± 0.0511
Per class
Kappa
0.3612 ± 0.1234
KB relative information score
275.449 ± 6.7276
Mean absolute error
0.2799 ± 0.039
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7122 ± 0.0536
Per class
Predictive accuracy
0.7201 ± 0.039
Prior entropy
0.9335
Recall
0.7201 ± 0.039
Per class
Relative absolute error
0.616 ± 0.085
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.5291 ± 0.0369
Root relative squared error
1.1101 ± 0.076
SciMark benchmark
869.4058
UserCPU time millis
20
UserCPU time millis training
20