Run
303764

Run 303764

Task 1712 (Learning Curve) breast-cancer 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
0.6043 ± 0.0839
Per class
F measure
0.6887 ± 0.0585
Per class
Kappa
0.2289 ± 0.1565
KB relative information score
0.2454 ± 0.1166
Mean absolute error
0.2937 ± 0.0459
Mean prior absolute error
0.4183 ± 0.0068
Number of instances
286
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6836 ± 0.0647
Per class
Predictive accuracy
0.7063 ± 0.0459
Prior entropy
0.8779 ± 0.0209
Recall
0.7063 ± 0.0459
Per class
Relative absolute error
0.7021 ± 0.1085
Root mean prior squared error
0.457 ± 0.0075
Root mean squared error
0.5419 ± 0.0457
Root relative squared error
1.1858 ± 0.0986
SciMark benchmark
1340.2843
UserCPU time millis
40
UserCPU time millis training
40