Run
52736

Run 52736

Task 1736 (Learning Curve) diabetes Uploaded 07-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultilayerPerceptron(2)Weka implementation of MultilayerPerceptron
weka.MultilayerPerceptron(2)_E20
weka.MultilayerPerceptron(2)_Ha
weka.MultilayerPerceptron(2)_L0.3
weka.MultilayerPerceptron(2)_M0.2
weka.MultilayerPerceptron(2)_N500
weka.MultilayerPerceptron(2)_S0
weka.MultilayerPerceptron(2)_V0

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.

21 Evaluation measures

Area under ROC curve
0.8053 ± 0.0499
Per class
Build CPU time
0.1882
Build memory
4425549307.6
F measure
0.7509 ± 0.0411
Per class
Kappa
0.4434 ± 0.0957
KB relative information score
0.3697 ± 0.062
Mean absolute error
0.2856 ± 0.0256
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7505 ± 0.0417
Per class
Predictive accuracy
0.7565 ± 0.0376
Prior entropy
0.9331 ± 0.0046
Recall
0.7565 ± 0.0376
Per class
Relative absolute error
0.6284 ± 0.056
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4178 ± 0.0354
Root relative squared error
0.8766 ± 0.0739
SciMark benchmark
1629.4508