Run
303724

Run 303724

Task 86 (Learning Curve) colic 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
0.7886 ± 0.0661
Per class
F measure
0.8021 ± 0.0582
Per class
Kappa
0.5758 ± 0.1248
KB relative information score
0.5621 ± 0.1239
Mean absolute error
0.1981 ± 0.0563
Mean prior absolute error
0.4662 ± 0.0029
Number of instances
3680
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8024 ± 0.0578
Per class
Predictive accuracy
0.8019 ± 0.0563
Prior entropy
0.9503 ± 0.0087
Recall
0.8019 ± 0.0563
Per class
Relative absolute error
0.425 ± 0.1204
Root mean prior squared error
0.4827 ± 0.0031
Root mean squared error
0.4451 ± 0.065
Root relative squared error
0.9221 ± 0.1339
SciMark benchmark
1344.4203
UserCPU time millis
60
UserCPU time millis training
60