Run
303727

Run 303727

Task 88 (Learning Curve) credit-approval 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
0.8527 ± 0.0369
Per class
F measure
0.8465 ± 0.0382
Per class
Kappa
0.6936 ± 0.0746
KB relative information score
0.6867 ± 0.0774
Mean absolute error
0.1539 ± 0.038
Mean prior absolute error
0.494 ± 0.0007
Number of instances
6900
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8567 ± 0.0353
Per class
Predictive accuracy
0.8461 ± 0.038
Prior entropy
0.9912 ± 0.0021
Recall
0.8461 ± 0.038
Per class
Relative absolute error
0.3116 ± 0.077
Root mean prior squared error
0.497 ± 0.0007
Root mean squared error
0.3923 ± 0.0486
Root relative squared error
0.7894 ± 0.0978
SciMark benchmark
1340.1614
UserCPU time millis
70
UserCPU time millis training
70