Update results from script: scripts/irm/cvar.py

Author: github-actions

results/irm/cvar_Y0_coverage.csv

@@ -1,9 +1,9 @@
 Learner g,Learner m,level,Coverage,CI Length,Bias,repetition
-LGBM Regr.,LGBM Clas.,0.9,0.7992857142857143,0.5698895627940845,0.1622318401991349,200
-LGBM Regr.,LGBM Clas.,0.95,0.8728571428571429,0.6790652979328213,0.1622318401991349,200
-LGBM Regr.,Logistic,0.9,0.7892857142857143,0.444416645306349,0.13289988655229823,200
-LGBM Regr.,Logistic,0.95,0.8857142857142857,0.5295550951514872,0.13289988655229823,200
-Linear,LGBM Clas.,0.9,0.8221428571428571,0.5759694248495425,0.16067305644701288,200
-Linear,LGBM Clas.,0.95,0.88,0.6863099004095503,0.16067305644701288,200
-Linear,Logistic,0.9,0.77,0.4638841356789262,0.14556325752609944,200
-Linear,Logistic,0.95,0.8385714285714286,0.5527520406878192,0.14556325752609944,200
+LGBM Regr.,LGBM Clas.,0.9,0.8135714285714286,0.558683997772339,0.16093846082916122,200
+LGBM Regr.,LGBM Clas.,0.95,0.8771428571428571,0.6657130436597479,0.16093846082916122,200
+LGBM Regr.,Logistic,0.9,0.83,0.4284775657171733,0.1276714757715089,200
+LGBM Regr.,Logistic,0.95,0.8771428571428571,0.5105625103830777,0.1276714757715089,200
+Linear,LGBM Clas.,0.9,0.7892857142857143,0.5630811366272137,0.1750343717735893,200
+Linear,LGBM Clas.,0.95,0.8492857142857143,0.6709525577717416,0.1750343717735893,200
+Linear,Logistic,0.9,0.7421428571428571,0.45008918626971695,0.14782345478591596,200
+Linear,Logistic,0.95,0.835,0.5363143446110485,0.14782345478591596,200

results/irm/cvar_Y1_coverage.csv

@@ -1,9 +1,9 @@
 Learner g,Learner m,level,Coverage,CI Length,Bias,repetition
-LGBM Regr.,LGBM Clas.,0.9,0.917142857142857,0.19119717658041008,0.04362829784730854,200
-LGBM Regr.,LGBM Clas.,0.95,0.9542857142857143,0.22782548787510115,0.04362829784730854,200
-LGBM Regr.,Logistic,0.9,0.9057142857142857,0.1808152569639124,0.04420216660189615,200
-LGBM Regr.,Logistic,0.95,0.9464285714285714,0.21545466763595436,0.04420216660189615,200
-Linear,LGBM Clas.,0.9,0.9307142857142857,0.21249094126531845,0.04611913119447561,200
-Linear,LGBM Clas.,0.95,0.9685714285714286,0.2531985734760624,0.04611913119447561,200
-Linear,Logistic,0.9,0.907142857142857,0.1974588750818297,0.04611240388345785,200
-Linear,Logistic,0.95,0.9592857142857143,0.2352867618412089,0.04611240388345785,200
+LGBM Regr.,LGBM Clas.,0.9,0.9314285714285714,0.19151734578017915,0.04104704711866214,200
+LGBM Regr.,LGBM Clas.,0.95,0.9657142857142857,0.22820699300736602,0.04104704711866214,200
+LGBM Regr.,Logistic,0.9,0.9314285714285714,0.18081183530929518,0.039318346927923055,200
+LGBM Regr.,Logistic,0.95,0.9664285714285714,0.21545059048300444,0.039318346927923055,200
+Linear,LGBM Clas.,0.9,0.9514285714285714,0.21336023206199958,0.042369199648548656,200
+Linear,LGBM Clas.,0.95,0.9764285714285714,0.25423439734857617,0.042369199648548656,200
+Linear,Logistic,0.9,0.9285714285714286,0.1967447832942214,0.041760333368338426,200
+Linear,Logistic,0.95,0.9735714285714286,0.2344358689943104,0.041760333368338426,200

results/irm/cvar_effect_coverage.csv

@@ -1,9 +1,9 @@
 Learner g,Learner m,level,Coverage,CI Length,Bias,Uniform Coverage,Uniform CI Length,repetition
-LGBM Regr.,LGBM Clas.,0.9,0.8285714285714286,0.5820773835982563,0.16340146510609896,0.8,0.7041248792060457,200
-LGBM Regr.,LGBM Clas.,0.95,0.8828571428571429,0.6935879821612518,0.16340146510609896,0.865,0.8104981741914127,200
-LGBM Regr.,Logistic,0.9,0.8078571428571429,0.4557462112689952,0.13573460597377687,0.775,0.5481526458665991,200
-LGBM Regr.,Logistic,0.95,0.8935714285714286,0.5430551056590559,0.13573460597377687,0.875,0.632067835425355,200
-Linear,LGBM Clas.,0.9,0.827857142857143,0.6010696922562259,0.16176034889643487,0.795,0.7100199778744414,200
-Linear,LGBM Clas.,0.95,0.8864285714285713,0.7162187137612902,0.16176034889643487,0.855,0.8211084080550509,200
-Linear,Logistic,0.9,0.7728571428571429,0.48825700023292934,0.14657921460513024,0.755,0.5721453699087213,200
-Linear,Logistic,0.95,0.8542857142857143,0.5817941000803347,0.14657921460513024,0.83,0.662941047401618,200
+LGBM Regr.,LGBM Clas.,0.9,0.827857142857143,0.5710685305481125,0.16052920368203474,0.785,0.6906174048262292,200
+LGBM Regr.,LGBM Clas.,0.95,0.8885714285714286,0.6804701246596295,0.16052920368203474,0.895,0.7953244912486926,200
+LGBM Regr.,Logistic,0.9,0.8271428571428571,0.43999562239145346,0.12430365207842994,0.815,0.5327747575457736,200
+LGBM Regr.,Logistic,0.95,0.8892857142857143,0.5242871214266269,0.12430365207842994,0.87,0.6147424507415543,200
+Linear,LGBM Clas.,0.9,0.7892857142857143,0.5891418372517685,0.18374743604747235,0.745,0.6976304863416719,200
+Linear,LGBM Clas.,0.95,0.8621428571428571,0.7020057978893286,0.18374743604747235,0.84,0.8072538231232462,200
+Linear,Logistic,0.9,0.7707142857142857,0.47465066399401157,0.15252675761847112,0.735,0.5599340403260908,200
+Linear,Logistic,0.95,0.8342857142857143,0.5655811504580351,0.15252675761847112,0.8,0.6483698794785692,200

results/irm/cvar_metadata.csv

@@ -1,2 +1,2 @@
 DoubleML Version,Script,Date,Total Runtime (minutes),Python Version,Config File
-0.11.dev0,CVARCoverageSimulation,2025-09-08 08:12,94.27919102907181,3.12.3,scripts/irm/cvar_config.yml
+0.12.dev0,CVARCoverageSimulation,2025-12-04 18:37,87.47529164155324,3.12.3,scripts/irm/cvar_config.yml