Run
303757

Run 303757

Task 1703 (Learning Curve) labor 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
0.8959 ± 0.1596
Per class
F measure
0.8958 ± 0.1591
Per class
Kappa
0.7741 ± 0.3248
KB relative information score
0.7607 ± 0.3726
Mean absolute error
0.1053 ± 0.1629
Mean prior absolute error
0.457 ± 0.0218
Number of instances
57
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8991 ± 0.1403
Per class
Predictive accuracy
0.8947 ± 0.1629
Prior entropy
0.9349 ± 0.0648
Recall
0.8947 ± 0.1629
Per class
Relative absolute error
0.2303 ± 0.3578
Root mean prior squared error
0.4773 ± 0.023
Root mean squared error
0.3244 ± 0.2677
Root relative squared error
0.6798 ± 0.5567
SciMark benchmark
1340.1614