DEVELOPMENT... OpenML
Run
25190

Run 25190

Task 96 (Learning Curve) diabetes Uploaded 17-08-2014 by Jason
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Flow

weka.SGD(2)Weka implementation of SGD
weka.SGD(2)_C0.001
weka.SGD(2)_E500
weka.SGD(2)_F0
weka.SGD(2)_L0.01
weka.SGD(2)_R1.0E-4
weka.SGD(2)_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.

21 Evaluation measures

Area under ROC curve
0.7232 ± 0.0554
Per class
Build CPU time
0.0145
Build memory
4680657778.29
F measure
0.765 ± 0.0504
Per class
Kappa
0.4725 ± 0.1135
KB relative information score
0.4814 ± 0.1089
Mean absolute error
0.2264 ± 0.0475
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
7680
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.7687 ± 0.0534
Per class
Predictive accuracy
0.7736 ± 0.0475
Prior entropy
0.9331 ± 0.0044
Recall
0.7736 ± 0.0475
Per class
Relative absolute error
0.4982 ± 0.1046
Root mean prior squared error
0.4766 ± 0.0015
Root mean squared error
0.4758 ± 0.0499
Root relative squared error
0.9983 ± 0.1047
SciMark benchmark
1145.0274[646.2544336506912951.1130238058985506.72102183240213955.68354751544022665.3651865515785]