DEVELOPMENT... OpenML
Run
25210

Run 25210

Task 116 (Learning Curve) ionosphere 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
0.8337 ± 0.0653
Per class
Build CPU time
0.0213
Build memory
2886308730.7333
F measure
0.8669 ± 0.0563
Per class
Kappa
0.7055 ± 0.1236
KB relative information score
0.7117 ± 0.1159
Mean absolute error
0.1282 ± 0.0518
Mean prior absolute error
0.4604 ± 0.0038
Number of instances
3510
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.8784 ± 0.0493
Per class
Predictive accuracy
0.8718 ± 0.0518
Prior entropy
0.9418 ± 0.0113
Recall
0.8718 ± 0.0518
Per class
Relative absolute error
0.2784 ± 0.1121
Root mean prior squared error
0.4797 ± 0.004
Root mean squared error
0.3581 ± 0.0765
Root relative squared error
0.7464 ± 0.1587
SciMark benchmark
1181.5378[686.4386274216406984.3959268331351540.9278671344911973.42737611463782722.4991122097326]