Run
303734

Run 303734

Task 90 (Learning Curve) credit-g 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
0.68 ± 0.0533
Per class
F measure
0.7421 ± 0.0415
Per class
Kappa
0.3749 ± 0.1026
KB relative information score
0.356 ± 0.1027
Mean absolute error
0.2522 ± 0.0402
Mean prior absolute error
0.4202
Number of instances
10000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7391 ± 0.0433
Per class
Predictive accuracy
0.7478 ± 0.0402
Prior entropy
0.8813
Recall
0.7478 ± 0.0402
Per class
Relative absolute error
0.6002 ± 0.0957
Root mean prior squared error
0.4583
Root mean squared error
0.5022 ± 0.04
Root relative squared error
1.0959 ± 0.0873
SciMark benchmark
1344.4203
UserCPU time millis
170
UserCPU time millis training
170