Run
572543

Run 572543

Task 3891 (Supervised Classification) gina_agnostic Uploaded 10-05-2016 by Rafael Gomes Mantovani
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Flow

classif.sparseLDA(4)Learner classif.sparseLDA from package(s) !sparseLDA, MASS, !elasticnet.
classif.sparseLDA(4)_openml.seed1
classif.sparseLDA(4)_openml.kindMersenne-Twister
classif.sparseLDA(4)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

20 Evaluation measures

Area under ROC curve
0.8066
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8036
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6113
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2115.4541
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1949
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4999
Cross-validation details (10-fold Crossvalidation)
Number of instances
3468
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8171
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8051
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9998
Cross-validation details (10-fold Crossvalidation)
Recall
0.8051
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.39
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4999
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4415
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8831
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
4539.284
UserCPU time millis testing
0.381
UserCPU time millis training
4538.903