Run
303704

Run 303704

Task 64 (Learning Curve) labor 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
0.9041 ± 0.1197
Per class
F measure
0.906 ± 0.1204
Per class
Kappa
0.7953 ± 0.2505
KB relative information score
0.7847 ± 0.2959
Mean absolute error
0.0947 ± 0.1241
Mean prior absolute error
0.457 ± 0.0208
Number of instances
570
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9078 ± 0.0829
Per class
Predictive accuracy
0.9053 ± 0.1241
Prior entropy
0.9349 ± 0.0618
Recall
0.9053 ± 0.1241
Per class
Relative absolute error
0.2073 ± 0.2799
Root mean prior squared error
0.4773 ± 0.0219
Root mean squared error
0.3078 ± 0.2338
Root relative squared error
0.6449 ± 0.4972
SciMark benchmark
1340.1614