Run
1665016

Run 1665016

Task 3968 (Supervised Classification) OVA_Kidney 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
0.9451
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9534
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8388
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1222.3816
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0479
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2802
Cross-validation details (10-fold Crossvalidation)
Number of instances
1545
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9567
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9521
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6548
Cross-validation details (10-fold Crossvalidation)
Recall
0.9521
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1709
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3741
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2189
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.585
Cross-validation details (10-fold Crossvalidation)