DEVELOPMENT... OpenML
Run
198709

Run 198709

Task 3808 (Supervised Classification) kidney Uploaded 27-02-2015 by Felicia West
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Flow

weka.SPegasos(5)S. Shalev-Shwartz, Y. Singer, N. Srebro: Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. In: 24th International Conference on MachineLearning, 807-814, 2007.
weka.SPegasos(5)_F0
weka.SPegasos(5)_L1.0E-4
weka.SPegasos(5)_E500

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
0.7361
Per class
F measure
0.7368
Per class
Kappa
0.4722
KB relative information score
35.8402
Mean absolute error
0.2632
Mean prior absolute error
0.4987
Number of instances
76
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7368
Per class
Predictive accuracy
0.7368
Prior entropy
0.9981
Recall
0.7368
Per class
Relative absolute error
0.5277
Root mean prior squared error
0.4993
Root mean squared error
0.513
Root relative squared error
1.0274
SciMark benchmark
1313.9994