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,0.9,0.08571428571428572,0.2668542738595025,0.18297137425202115,0.14285714285714285,1.0,0.6114310427610333,0.190586622442589,0.16060561738439572,0.2053371311196466,35
-LGBM,LGBM,0.95,0.2571428571428571,0.31797647967896914,0.18297137425202115,0.4,1.0,0.6114310427610333,0.1291525667553449,0.16060561738439572,0.2053371311196466,35
-LGBM,Logistic Regr.,0.9,0.2689655172413793,0.2574480013692081,0.1509161799548195,0.18620689655172415,1.0,0.5421706160096337,0.19323512174098637,0.12952194639765482,0.17231041351198423,145
-LGBM,Logistic Regr.,0.95,0.5448275862068965,0.3067682146955884,0.1509161799548195,0.5241379310344828,1.0,0.5421706160096337,0.10745562617986258,0.12952194639765482,0.17231041351198423,145
-Linear Reg.,LGBM,0.9,0.0975609756097561,0.2668393325191035,0.17524217372808007,0.07317073170731707,1.0,0.6166184854541432,0.21038949010727379,0.15590555899808603,0.19457878845807408,41
-Linear Reg.,LGBM,0.95,0.2926829268292683,0.31795867597377425,0.17524217372808007,0.2682926829268293,1.0,0.6166184854541432,0.13803374916742117,0.15590555899808603,0.19457878845807408,41
-Linear Reg.,Logistic Regr.,0.9,0.8811188811188811,0.25897564216705166,0.08760514512781448,0.8041958041958042,1.0,0.37872148149083257,0.03858402699843757,0.06806645558318873,0.10850473740047888,143
-Linear Reg.,Logistic Regr.,0.95,0.986013986013986,0.3085885109797244,0.08760514512781448,0.9790209790209791,1.0,0.37872148149083257,0.007354698850087891,0.06806645558318873,0.10850473740047888,143
+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

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,2024-12-18 18:32:01,19817.343207597733,3.12.8,736
+0.10.dev0,irm_apo_sensitivity.py,2025-02-04 00:55:57,19823.67243719101,3.12.8,0