Run
1664983

Run 1664983

Task 3021 (Supervised Classification) sick Uploaded 19-07-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.SPegasos(6)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(6)_F0
weka.SPegasos(6)_L1.0E-4
weka.SPegasos(6)_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.

17 Evaluation measures

Area under ROC curve
0.6746
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9438
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4514
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1489.4731
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0488
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1152
Cross-validation details (10-fold Crossvalidation)
Number of instances
3772
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9434
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9512
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3333
Cross-validation details (10-fold Crossvalidation)
Recall
0.9512
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4235
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2398
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2209
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9211
Cross-validation details (10-fold Crossvalidation)