OpenML
6367791

Run 6367791

Task 7295 (Supervised Classification) Click_prediction_small Uploaded 29-08-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot8 botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.xgboost(9)Learner mlr.classif.xgboost from package(s) xgboost.
mlr.classif.xgboost(9)_boostergblinear
mlr.classif.xgboost(9)_eta0.101689412894354
mlr.classif.xgboost(9)_subsample0.144033204927109
mlr.classif.xgboost(9)_lambda0.026345039593429
mlr.classif.xgboost(9)_alpha986.109777706095
mlr.classif.xgboost(9)_nthread1
mlr.classif.xgboost(9)_nrounds3682
mlr.classif.xgboost(9)_verbose0
mlr.classif.xgboost(9)_openml.seed1
mlr.classif.xgboost(9)_openml.kindMersenne-Twister
mlr.classif.xgboost(9)_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
0.6105
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
16.759
Cross-validation details (10-fold Crossvalidation)
F measure
0.757
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0079
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-2132.3302
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.275
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2801
Cross-validation details (10-fold Crossvalidation)
Number of instances
39948
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8253
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8322
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6541
Cross-validation details (10-fold Crossvalidation)
Recall
0.8322
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9818
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3742
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3706
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9903
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1269.9827
Total cost
669490
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
895.347
UserCPU time millis testing
0.062
UserCPU time millis training
895.285