Run
303758

Run 303758

Task 116 (Learning Curve) ionosphere 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
0.8337 ± 0.0653
Per class
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_75, amd64, Linux, 3.16.0-29-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
1340.2843
UserCPU time millis
30
UserCPU time millis training
30