R Under development (unstable) (2026-01-10 r89298 ucrt) -- "Unsuffered Consequences" Copyright (C) 2026 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > library(testthat) > library(DALEXtra) Loading required package: DALEX Welcome to DALEX (version: 2.5.3). Find examples and detailed introduction at: http://ema.drwhy.ai/ Additional features will be available after installation of: ggpubr. Use 'install_dependencies()' to get all suggested dependencies > > test_check("DALEXtra") | | | 0% | |============ | 17% | |======================= | 33% | |=================================== | 50% | |=============================================== | 67% | |========================================================== | 83% | |======================================================================| 100%Preparation of a new explainer is initiated -> model label : LM -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used (  default  ) -> predicted values : No value for predict function target column. (  default  ) -> model_info : package mlr , ver. 2.19.3 , task regression (  default  ) -> predicted values : numerical, min = 1792.597 , mean = 3506.836 , max = 6241.447 -> residual function : difference between y and yhat (  default  ) -> residuals : numerical, min = -257.2555 , mean = 4.687686 , max = 472.356  A new explainer has been created!  Preparation of a new explainer is initiated -> model label : RF -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used (  default  ) -> predicted values : No value for predict function target column. (  default  ) -> model_info : package mlr , ver. 2.19.3 , task regression (  default  ) -> predicted values : numerical, min = 1790.71 , mean = 3504.145 , max = 6263.183 -> residual function : difference between y and yhat (  default  ) -> residuals : numerical, min = -564.8431 , mean = 7.378668 , max = 758.4022  A new explainer has been created!  Preparation of a new explainer is initiated -> model label : GBM -> data : 9000 rows 6 cols -> target variable : 9000 values -> predict function : yhat.WrappedModel will be used (  default  ) -> predicted values : No value for predict function target column. (  default  ) -> model_info : package mlr , ver. 2.19.3 , task regression (  default  ) -> predicted values : numerical, min = 2127.852 , mean = 3502.23 , max = 6074.117 -> residual function : difference between y and yhat (  default  ) -> residuals : numerical, min = -566.7172 , mean = 9.293698 , max = 749.7321  A new explainer has been created!  additional arguments ignored in warning() Preparation of a new explainer is initiated -> model label : ranger (  default  ) -> data : 2207 rows 7 cols -> target variable : 2207 values -> predict function : yhat.ranger will be used (  default  ) -> predicted values : No value for predict function target column. (  default  ) -> model_info : package ranger , ver. 0.17.0 , task classification (  default  ) -> predicted values : numerical, min = 0.01499085 , mean = 0.3216637 , max = 0.9874768 -> residual function : difference between y and yhat (  default  ) -> residuals : numerical, min = -0.7840708 , mean = 0.0004930422 , max = 0.8810766  A new explainer has been created!  additional arguments ignored in warning() Preparation of a new explainer is initiated -> model label : xgb.Booster (  default  ) -> data : 7847 rows 5 cols -> target variable : 7847 values -> predict function : yhat.xgb.Booster will be used (  default  ) -> predicted values : No value for predict function target column. (  default  ) -> model_info : package xgboost , ver. 3.1.3.1 , task multiclass (  default  ) -> predicted values : predict function returns multiple columns: 3 (  default  ) -> residual function : difference between 1 and probability of true class (  default  ) -> residuals : numerical, min = 0.04118502 , mean = 0.389793 , max = 0.9741297  A new explainer has been created!  [ FAIL 0 | WARN 7 | SKIP 10 | PASS 57 ] ══ Skipped tests (10) ══════════════════════════════════════════════════════════ • Conda test env needed for tests (6): 'test_create_env.R:6:3', 'test_create_env.R:27:3', 'test_create_env.R:40:3', 'test_keras_explain.R:6:2', 'test_scikitlearn_explain.R:6:3', 'tests_prints.R:8:3' • JAVA entry needed for tests (4): 'test_h2o_explain.R:8:3', 'test_h2o_explain.R:33:3', 'test_h2o_explain.R:56:3', 'test_h2o_explain.R:90:3' [ FAIL 0 | WARN 7 | SKIP 10 | PASS 57 ] > > proc.time() user system elapsed 323.28 30.62 352.31