Run
549057

Run 549057

Task 3879 (Supervised Classification) vowel Uploaded 05-04-2016 by Martijn Post
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Flow

weka.SGD(4)Weka implementation of SGD
weka.SGD(4)_F0
weka.SGD(4)_L0.01
weka.SGD(4)_R1.0E-4
weka.SGD(4)_E500
weka.SGD(4)_C0.001
weka.SGD(4)_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
0.93
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9815
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8866
Cross-validation details (10-fold Crossvalidation)
KB relative information score
837.9649
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0182
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.166
Cross-validation details (10-fold Crossvalidation)
Number of instances
990
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.9815
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9818
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4422
Cross-validation details (10-fold Crossvalidation)
Recall
0.9818
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1096
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2875
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1348
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.469
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1860.4354
UserCPU time millis
62.5
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
62.5
Cross-validation details (10-fold Crossvalidation)