Run
198154

Run 198154

Task 284 (Supervised Classification) hepatitis Uploaded 27-02-2015 by Joaquin Vanschoren
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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
0.6387
Per class
Cross-validation details (33% Holdout set)
F measure
0.7255
Per class
Cross-validation details (33% Holdout set)
Kappa
0.2773
Cross-validation details (33% Holdout set)
KB relative information score
7.98
Cross-validation details (33% Holdout set)
Mean absolute error
0.2745
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.3579
Cross-validation details (33% Holdout set)
Number of instances
51
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7255
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7255
Cross-validation details (33% Holdout set)
Prior entropy
0.7418
Cross-validation details (33% Holdout set)
Recall
0.7255
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7669
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4381
Cross-validation details (33% Holdout set)
Root mean squared error
0.5239
Cross-validation details (33% Holdout set)
Root relative squared error
1.1959
Cross-validation details (33% Holdout set)
SciMark benchmark
1318.1432
UserCPU time millis
20
Cross-validation details (33% Holdout set)
UserCPU time millis training
20
Cross-validation details (33% Holdout set)