Run
517333

Run 517333

Task 9909 (Supervised Classification) autoUniv-au1-1000 Uploaded 29-01-2016 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
0.513
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6495
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0368
Cross-validation details (10-fold Crossvalidation)
KB relative information score
244.2673
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.262
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3841
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.668
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.738
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.826
Cross-validation details (10-fold Crossvalidation)
Recall
0.738
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6822
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5119
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1684
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.364
UserCPU time millis testing
0.108
UserCPU time millis training
0.256