Run
515722

Run 515722

Task 3854 (Supervised Classification) car Uploaded 28-01-2016 by Rafael Gomes Mantovani
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9587
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9543
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8927
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1523.0597
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0463
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4199
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9566
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9537
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8813
Cross-validation details (10-fold Crossvalidation)
Recall
0.9537
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1103
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2152
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4696
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
3.404
UserCPU time millis testing
0.234
UserCPU time millis training
3.17