Run
25166

Run 25166

Task 72 (Learning Curve) breast-cancer Uploaded 16-08-2014 by Jan van Rijn
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Flow

weka.SGD(2)Weka implementation of SGD
weka.SGD(2)_C0.001
weka.SGD(2)_E500
weka.SGD(2)_F0
weka.SGD(2)_L0.01
weka.SGD(2)_R1.0E-4
weka.SGD(2)_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.

21 Evaluation measures

Area under ROC curve
0.5892 ± 0.0804
Per class
Build CPU time
0.0284
Build memory
485847252.76
F measure
0.6765 ± 0.0719
Per class
Kappa
0.1972 ± 0.1722
KB relative information score
0.2203 ± 0.1734
Mean absolute error
0.3035 ± 0.0691
Mean prior absolute error
0.4183 ± 0.0065
Number of instances
2860
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.6705 ± 0.0844
Per class
Predictive accuracy
0.6965 ± 0.0691
Prior entropy
0.8779 ± 0.0199
Recall
0.6965 ± 0.0691
Per class
Relative absolute error
0.7255 ± 0.1623
Root mean prior squared error
0.457 ± 0.0071
Root mean squared error
0.5509 ± 0.0627
Root relative squared error
1.2054 ± 0.1334
SciMark benchmark
1178.2542[697.4173092955946985.6547740150851546.0166794033989970.54425178273282691.6378586761075]