Run
187116

Run 187116

Task 1702 (Learning Curve) kr-vs-kp 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
0.9662 ± 0.0096
Per class
F measure
0.9662 ± 0.009
Per class
Kappa
0.9323 ± 0.0181
KB relative information score
0.9322 ± 0.018
Mean absolute error
0.0338 ± 0.009
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9662 ± 0.0087
Per class
Predictive accuracy
0.9662 ± 0.009
Prior entropy
0.9986 ± 0.0002
Recall
0.9662 ± 0.009
Per class
Relative absolute error
0.0677 ± 0.018
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.1838 ± 0.0254
Root relative squared error
0.368 ± 0.0509
SciMark benchmark
639.2945
UserCPU time millis
680
UserCPU time millis testing
10
UserCPU time millis training
670