Run
187135

Run 187135

Task 1730 (Learning Curve) credit-g Uploaded 25-02-2015 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12
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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
0.6781 ± 0.0402
Per class
F measure
0.739 ± 0.0307
Per class
Kappa
0.3688 ± 0.0757
KB relative information score
0.3463 ± 0.0791
Mean absolute error
0.256 ± 0.031
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7361 ± 0.0322
Per class
Predictive accuracy
0.744 ± 0.031
Prior entropy
0.8813
Recall
0.744 ± 0.031
Per class
Relative absolute error
0.6093 ± 0.0737
Root mean prior squared error
0.4583
Root mean squared error
0.506 ± 0.0302
Root relative squared error
1.1041 ± 0.0659
SciMark benchmark
639.2945
UserCPU time millis
330
UserCPU time millis testing
10
UserCPU time millis training
320