update tuning sim

Author: SvenKlaassen

results/irm/irm_ate_tune_config.yml

@@ -1,5 +1,5 @@
 simulation_parameters:
-  repetitions: 100
+  repetitions: 500
   max_runtime: 19800
   random_seed: 42
   n_jobs: -2

results/irm/irm_ate_tune_coverage.csv

@@ -1,5 +1,5 @@
 Learner g,Learner m,level,Tuned,Coverage,CI Length,Bias,repetition
-LGBM Regr.,LGBM Clas.,0.9,False,0.98,1.917963098754478,0.3759301980407579,100
-LGBM Regr.,LGBM Clas.,0.9,True,0.9,0.3286032416773015,0.08161915599017401,100
-LGBM Regr.,LGBM Clas.,0.95,False,0.99,2.285393992292617,0.3759301980407579,100
-LGBM Regr.,LGBM Clas.,0.95,True,0.94,0.3915549130558737,0.08161915599017401,100
+LGBM Regr.,LGBM Clas.,0.9,False,0.952,1.8938962143131024,0.38916017267237296,500
+LGBM Regr.,LGBM Clas.,0.9,True,0.82,0.31269268855505145,0.09112340834220442,500
+LGBM Regr.,LGBM Clas.,0.95,False,0.988,2.256716530692214,0.38916017267237296,500
+LGBM Regr.,LGBM Clas.,0.95,True,0.9,0.3725963196693502,0.09112340834220442,500

results/irm/irm_ate_tune_metadata.csv

@@ -1,2 +1,2 @@
 DoubleML Version,Script,Date,Total Runtime (minutes),Python Version,Config File
-0.11.dev0,IRMATETuningCoverageSimulation,2025-11-14 18:20,22.557860120137533,3.12.9,scripts/irm/irm_ate_tune_config.yml
+0.12.dev0,IRMATETuningCoverageSimulation,2025-11-24 13:07,97.69014709790548,3.12.9,scripts/irm/irm_ate_tune_config.yml

results/plm/plr_ate_tune_config.yml

@@ -1,5 +1,5 @@
 simulation_parameters:
-  repetitions: 100
+  repetitions: 500
   max_runtime: 19800
   random_seed: 42
   n_jobs: -2

results/plm/plr_ate_tune_coverage.csv

@@ -1,5 +1,5 @@
 Learner g,Learner m,Score,level,Tuned,Coverage,CI Length,Bias,repetition
-LGBM Regr.,LGBM Regr.,partialling out,0.9,False,0.84,0.1476322636407647,0.0419955778328819,100
-LGBM Regr.,LGBM Regr.,partialling out,0.9,True,0.9,0.14472954691929252,0.03509689726085052,100
-LGBM Regr.,LGBM Regr.,partialling out,0.95,False,0.91,0.17591469231721352,0.0419955778328819,100
-LGBM Regr.,LGBM Regr.,partialling out,0.95,True,0.95,0.17245589200927858,0.03509689726085052,100
+LGBM Regr.,LGBM Regr.,partialling out,0.9,False,0.81,0.1479047026981892,0.04545068026009308,500
+LGBM Regr.,LGBM Regr.,partialling out,0.9,True,0.894,0.1451364370890545,0.037424408565466506,500
+LGBM Regr.,LGBM Regr.,partialling out,0.95,False,0.898,0.17623932347696217,0.04545068026009308,500
+LGBM Regr.,LGBM Regr.,partialling out,0.95,True,0.942,0.1729407315508218,0.037424408565466506,500

results/plm/plr_ate_tune_metadata.csv

@@ -1,2 +1,2 @@
 DoubleML Version,Script,Date,Total Runtime (minutes),Python Version,Config File
-0.11.dev0,PLRATETuningCoverageSimulation,2025-11-17 15:23,25.530170826117196,3.12.9,scripts/plm/plr_ate_tune_config.yml
+0.12.dev0,PLRATETuningCoverageSimulation,2025-11-24 15:37,119.77829658587774,3.12.9,scripts/plm/plr_ate_tune_config.yml

scripts/irm/irm_ate_tune_config.yml

@@ -1,7 +1,7 @@
 # Simulation parameters for IRM ATE Coverage with Tuning
 
 simulation_parameters:
-  repetitions: 100
+  repetitions: 500
   max_runtime: 19800 # 5.5 hours in seconds
   random_seed: 42
   n_jobs: -2

scripts/plm/plr_ate_tune_config.yml

@@ -1,7 +1,7 @@
 # Simulation parameters for PLR ATE Coverage
 
 simulation_parameters:
-  repetitions: 100
+  repetitions: 500
   max_runtime: 19800 # 5.5 hours in seconds
   random_seed: 42
   n_jobs: -2