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),repetition
-LGBM,LGBM,0.9,0.09836065573770492,0.26980333552727825,0.18205252584345485,1.0,1.0,0.09239844030018919,0.04045631137696363,0.035066111350142995,0.3810774239324017,244
-LGBM,LGBM,0.95,0.3073770491803279,0.32149050339653273,0.18205252584345485,1.0,1.0,0.09239844030018919,0.025884873713769935,0.035066111350142995,0.3810774239324017,244
-LGBM,Logistic Regr.,0.9,0.3073770491803279,0.2578060603442706,0.14817801851576512,1.0,1.0,0.07187480682741719,0.024545078956797563,0.06295056021181017,0.35846457343559074,244
-LGBM,Logistic Regr.,0.95,0.5614754098360656,0.30719486827981307,0.14817801851576512,1.0,1.0,0.07187480682741719,0.012961043152938044,0.06295056021181017,0.35846457343559074,244
-Linear Reg.,LGBM,0.9,0.10655737704918032,0.26955592225259073,0.18010332737150503,1.0,1.0,0.0941627548347164,0.04084948000316684,0.03472113416565001,0.37380556783576596,244
-Linear Reg.,LGBM,0.95,0.29918032786885246,0.3211956922961776,0.18010332737150503,1.0,1.0,0.0941627548347164,0.026040282694101653,0.03472113416565001,0.37380556783576596,244
-Linear Reg.,Logistic Regr.,0.9,0.8852459016393442,0.25925313646720843,0.08765249652827344,1.0,1.0,0.044052229523588664,0.0042325141887964,0.11824259236043642,0.2930872570585111,244
-Linear Reg.,Logistic Regr.,0.95,0.9836065573770492,0.30891916583272205,0.08765249652827344,1.0,1.0,0.044052229523588664,0.0008081901182391807,0.11824259236043642,0.2930872570585111,244
+LGBM,LGBM,0.9,0.09795918367346938,0.26979767912769265,0.1821217753924097,1.0,1.0,0.09243594786866559,0.040494673522359054,0.034931083457801146,0.3811385489487934,245
+LGBM,LGBM,0.95,0.30612244897959184,0.3214837633807111,0.1821217753924097,1.0,1.0,0.09243594786866559,0.025920252504384952,0.034931083457801146,0.3811385489487934,245
+LGBM,Logistic Regr.,0.9,0.30612244897959184,0.25780889388055256,0.1481921276548859,1.0,1.0,0.07187715697817153,0.024546744165995487,0.06294768349694302,0.35849335183083353,245
+LGBM,Logistic Regr.,0.95,0.563265306122449,0.30719824464654294,0.1481921276548859,1.0,1.0,0.07187715697817153,0.012953227730808654,0.06294768349694302,0.35849335183083353,245
+Linear Reg.,LGBM,0.9,0.10612244897959183,0.2695747491766244,0.18019285630080534,1.0,1.0,0.09421113740884988,0.04089415485221311,0.03462367597552903,0.37388485920180015,245
+Linear Reg.,LGBM,0.95,0.2979591836734694,0.32121812595984284,0.18019285630080534,1.0,1.0,0.09421113740884988,0.026079753922994376,0.03462367597552903,0.37388485920180015,245
+Linear Reg.,Logistic Regr.,0.9,0.8857142857142857,0.2592552019315289,0.08773320288603256,1.0,1.0,0.044089226784792754,0.004228149001636824,0.11817382692543607,0.2931817832302881,245
+Linear Reg.,Logistic Regr.,0.95,0.9836734693877551,0.30892162698526066,0.08773320288603256,1.0,1.0,0.044089226784792754,0.0008049142525428561,0.11817382692543607,0.2931817832302881,245

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,2025-02-04 00:55:57,19823.67243719101,3.12.8,0
+0.10.dev0,irm_apo_sensitivity.py,2025-02-04 19:14:02,19864.97425556183,3.12.8,0