Run
510645

Run 510645

Task 3798 (Supervised Classification) fri_c1_250_10 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
0.6821
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6897
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3682
Cross-validation details (10-fold Crossvalidation)
KB relative information score
92.762
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.308
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4929
Cross-validation details (10-fold Crossvalidation)
Number of instances
250
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6902
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.692
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9898
Cross-validation details (10-fold Crossvalidation)
Recall
0.692
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6249
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4964
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.555
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.118
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.409
UserCPU time millis testing
0.21
UserCPU time millis training
0.199