Run
303731

Run 303731

Task 96 (Learning Curve) diabetes Uploaded 18-03-2015 by Joaquin Vanschoren
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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
0.7232 ± 0.0554
Per class
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_75, amd64, Linux, 3.16.0-29-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
1340.1614
UserCPU time millis
30
UserCPU time millis training
30