DEVELOPMENT... OpenML
Run
48083

Run 48083

Task 1728 (Learning Curve) credit-approval 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
0.8519 ± 0.0367
Per class
Build CPU time
0.0357
Build memory
896309532.4
F measure
0.8453 ± 0.0382
Per class
Kappa
0.6915 ± 0.0743
KB relative information score
0.6844 ± 0.0774
Mean absolute error
0.1551 ± 0.0381
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.8564 ± 0.0338
Per class
Predictive accuracy
0.8449 ± 0.0381
Prior entropy
0.9912 ± 0.0022
Recall
0.8449 ± 0.0381
Per class
Relative absolute error
0.3139 ± 0.077
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3938 ± 0.0496
Root relative squared error
0.7924 ± 0.0997
SciMark benchmark
1932.1045