Run
187148

Run 187148

Task 1764 (Learning Curve) electricity 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
0.7386 ± 0.0077
Per class
F measure
0.7533 ± 0.0069
Per class
Kappa
0.4928 ± 0.0136
KB relative information score
0.5039 ± 0.0113
Mean absolute error
0.24 ± 0.0055
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7641 ± 0.005
Per class
Predictive accuracy
0.76 ± 0.0055
Prior entropy
0.9835 ± 0
Recall
0.76 ± 0.0055
Per class
Relative absolute error
0.4911 ± 0.0112
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.4899 ± 0.0056
Root relative squared error
0.9911 ± 0.0113
SciMark benchmark
639.2945
UserCPU time millis
6930
UserCPU time millis testing
90
UserCPU time millis training
6840