OpenML
1856002

Run 1856002

Task 6566 (Supervised Classification) Internet-Advertisements Uploaded 27-03-2017 by Philipp Probst
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.glmnet(4)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(4)_alpha0.0956859309226274
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.00710967214499602
mlr.classif.glmnet(4)_openml.seed1
mlr.classif.glmnet(4)_openml.kindMersenne-Twister
mlr.classif.glmnet(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.

17 Evaluation measures

Area under ROC curve
0.8047
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8889
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5794
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1077.3089
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1346
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2409
Cross-validation details (10-fold Crossvalidation)
Number of instances
3279
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9053
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8805
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5848
Cross-validation details (10-fold Crossvalidation)
Recall
0.8805
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5587
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.347
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3415
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9841
Cross-validation details (10-fold Crossvalidation)