Run
7349192

Run 7349192

Task 6566 (Supervised Classification) Internet-Advertisements Uploaded 05-09-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot7 botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.glmnet(11)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(11)_alpha0.642902045510709
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda1.38915168710975
mlr.classif.glmnet(11)_openml.seed1
mlr.classif.glmnet(11)_openml.kindMersenne-Twister
mlr.classif.glmnet(11)_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.

21 Evaluation measures

Area under ROC curve
0.499
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7953
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1.3367
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2408
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
0.7396
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.86
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5848
Cross-validation details (10-fold Crossvalidation)
Recall
0.86
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9993
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.347
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.347
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1294.0938
UserCPU time millis
3.906
UserCPU time millis testing
0.256
UserCPU time millis training
3.65