Run
25192

Run 25192

Task 98 (Learning Curve) sonar Uploaded 17-08-2014 by Jan van Rijn
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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
0.7695 ± 0.0857
Per class
Build CPU time
0.0273
Build memory
4851394612.944
F measure
0.7699 ± 0.085
Per class
Kappa
0.5381 ± 0.1698
KB relative information score
0.5364 ± 0.1693
Mean absolute error
0.2303 ± 0.0841
Mean prior absolute error
0.4978 ± 0.0015
Number of instances
2080
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.7702 ± 0.087
Per class
Predictive accuracy
0.7697 ± 0.0841
Prior entropy
0.9967 ± 0.0043
Recall
0.7697 ± 0.0841
Per class
Relative absolute error
0.4627 ± 0.1689
Root mean prior squared error
0.4989 ± 0.0015
Root mean squared error
0.4799 ± 0.092
Root relative squared error
0.9619 ± 0.1843
SciMark benchmark
1152.619[676.8492605614762978.3981016426347526.3440412149175934.22665906831362647.277168254775]