DEVELOPMENT... OpenML
Run
48101

Run 48101

Task 1742 (Learning Curve) spambase Uploaded 05-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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
0.9179 ± 0.0113
Per class
Build CPU time
0.254
Build memory
1094983532.8571
F measure
0.9241 ± 0.0106
Per class
Kappa
0.8407 ± 0.0223
KB relative information score
0.8384 ± 0.0227
Mean absolute error
0.0756 ± 0.0106
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9242 ± 0.0111
Per class
Predictive accuracy
0.9244 ± 0.0106
Prior entropy
0.9674 ± 0.0006
Recall
0.9244 ± 0.0106
Per class
Relative absolute error
0.1584 ± 0.0222
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.275 ± 0.0193
Root relative squared error
0.5628 ± 0.0396
SciMark benchmark
1932.1045