Run
508893

Run 508893

Task 3661 (Supervised Classification) cpu Uploaded 27-01-2016 by Rafael Gomes Mantovani
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Flow

classif.glmnet(1)Learner classif.glmnet from package(s) !glmnet.
classif.glmnet(1)_s0.01
classif.glmnet(1)_seed1
classif.glmnet(1)_kindMersenne-Twister
classif.glmnet(1)_normal.kindInversion

Result files

Description

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

Predictions

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

20 Evaluation measures

Area under ROC curve
0.9811
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9904
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9744
Cross-validation details (10-fold Crossvalidation)
KB relative information score
202.2519
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0096
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3797
Cross-validation details (10-fold Crossvalidation)
Number of instances
209
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9906
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9904
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8205
Cross-validation details (10-fold Crossvalidation)
Recall
0.9904
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0252
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4351
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0978
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2248
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.55
UserCPU time millis testing
0.19
UserCPU time millis training
0.36