Run
303746

Run 303746

Task 63 (Learning Curve) kr-vs-kp 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
0.9708 ± 0.0095
Per class
F measure
0.9705 ± 0.0093
Per class
Kappa
0.9409 ± 0.0187
KB relative information score
0.9408 ± 0.0187
Mean absolute error
0.0295 ± 0.0093
Mean prior absolute error
0.499 ± 0.0001
Number of instances
31960
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9706 ± 0.009
Per class
Predictive accuracy
0.9705 ± 0.0093
Prior entropy
0.9986 ± 0.0002
Recall
0.9705 ± 0.0093
Per class
Relative absolute error
0.0591 ± 0.0187
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.1718 ± 0.0272
Root relative squared error
0.3439 ± 0.0544
SciMark benchmark
1340.2843
UserCPU time millis
350
UserCPU time millis testing
10
UserCPU time millis training
340