Run
187139

Run 187139

Task 1736 (Learning Curve) diabetes Uploaded 25-02-2015 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.SGD(3)Weka implementation of SGD
weka.SGD(3)_F0
weka.SGD(3)_L0.01
weka.SGD(3)_R1.0E-4
weka.SGD(3)_E500
weka.SGD(3)_C0.001
weka.SGD(3)_S1

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
0.7304 ± 0.046
Per class
F measure
0.771 ± 0.0453
Per class
Kappa
0.4861 ± 0.099
KB relative information score
0.493 ± 0.1013
Mean absolute error
0.2214 ± 0.0448
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.774 ± 0.0492
Per class
Predictive accuracy
0.7786 ± 0.0448
Prior entropy
0.9331 ± 0.0046
Recall
0.7786 ± 0.0448
Per class
Relative absolute error
0.487 ± 0.0977
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4705 ± 0.0491
Root relative squared error
0.9871 ± 0.1014
SciMark benchmark
639.2945
UserCPU time millis
50
UserCPU time millis training
50