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

Author: github-actions

results/irm/irm_apo_sensitivity.csv

@@ -1,9 +1,9 @@
 Learner g,Learner m,level,Coverage,CI Length,Bias,Coverage (Lower),Coverage (Upper),RV,RVa,Bias (Lower),Bias (Upper),CI Bound Length,repetition
-LGBM,LGBM,0.9,0.0,0.1292540820255691,0.1677439500916218,1.0,1.0,0.08334212448404087,0.059113043397617415,0.036836009396182916,0.3721331068951957,0.5095597104015827,100
-LGBM,LGBM,0.95,0.0,0.1540157382237242,0.1677439500916218,1.0,1.0,0.08334212448404087,0.05212249622605954,0.036836009396182916,0.3721331068951957,0.5381298360143767,100
-LGBM,Logistic Regr.,0.9,0.0,0.12798017567553704,0.15251467338033609,1.0,1.0,0.07659421125394784,0.05222417352921675,0.05042841323362346,0.35545775999429563,0.5056319268530703,100
-LGBM,Logistic Regr.,0.95,0.0,0.15249778518229332,0.15251467338033609,1.0,1.0,0.07659421125394784,0.04519737142215315,0.05042841323362346,0.35545775999429563,0.5339084620178494,100
-Linear Reg.,LGBM,0.9,0.0,0.13050148401216977,0.16740934350762515,1.0,1.0,0.08209259956920208,0.05796766242007333,0.039830831956169446,0.37464951897141974,0.5162334967376828,100
-Linear Reg.,LGBM,0.95,0.0,0.15550210936819642,0.16740934350762515,1.0,1.0,0.08209259956920208,0.05100237961568155,0.039830831956169446,0.37464951897141974,0.5450790996937619,100
-Linear Reg.,Logistic Regr.,0.9,0.08,0.1293446408364081,0.08762861257786415,1.0,1.0,0.044141171731517534,0.018998467144475298,0.11817849827800302,0.2934357234337313,0.5124233919151969,100
-Linear Reg.,Logistic Regr.,0.95,0.26,0.15412364570243178,0.08762861257786415,1.0,1.0,0.044141171731517534,0.011970031722965948,0.11817849827800302,0.2934357234337313,0.5410013909035332,100
+LGBM,LGBM,0.9,0.0,0.1292540820255691,0.1677439500916218,0.94,1.0,0.11573872417116222,0.08252331475485856,0.024288344996646342,0.3122738965658806,0.3898116700153508,100
+LGBM,LGBM,0.95,0.0,0.1540157382237242,0.1677439500916218,0.99,1.0,0.11573872417116222,0.07287226227791722,0.024288344996646342,0.3122738965658806,0.418373398846942,100
+LGBM,Logistic Regr.,0.9,0.0,0.12798017567553704,0.15251467338033609,1.0,1.0,0.10652571495226121,0.07301481703198542,0.014645752061926958,0.29602520197592563,0.3867596062890008,100
+LGBM,Logistic Regr.,0.95,0.0,0.15249778518229332,0.15251467338033609,1.0,1.0,0.10652571495226121,0.06328412036942282,0.014645752061926958,0.29602520197592563,0.41503409907039024,100
+Linear Reg.,LGBM,0.9,0.0,0.13050148401216977,0.16740934350762515,0.97,1.0,0.11403669658454366,0.08093114285791209,0.022292080500950134,0.3139559124208978,0.3948171482587492,100
+Linear Reg.,LGBM,0.95,0.0,0.15550210936819642,0.16740934350762515,1.0,1.0,0.11403669658454366,0.07130818482813787,0.022292080500950134,0.3139559124208978,0.42365449174003855,100
+Linear Reg.,Logistic Regr.,0.9,0.08,0.1293446408364081,0.08762861257786415,1.0,1.0,0.06182185548164626,0.026723981525642357,0.057907195061308585,0.2331644202170369,0.39187310331025016,100
+Linear Reg.,Logistic Regr.,0.95,0.26,0.15412364570243178,0.08762861257786415,1.0,1.0,0.06182185548164626,0.016854287151815115,0.057907195061308585,0.2331644202170369,0.420448924509695,100

results/irm/irm_apo_sensitivity_metadata.csv

@@ -1,2 +1,2 @@
 DoubleML Version,Script,Date,Total Runtime (seconds),Python Version,Sensitivity Errors
-0.10.dev0,irm_apo_sensitivity.py,2025-02-05 13:22:13,12080.8105738163,3.12.8,0
+0.10.dev0,irm_apo_sensitivity.py,2025-02-17 11:58:31,12093.837664842606,3.12.9,0