Updated simulation, removed old files

Author: jer2ig

results/plm/logistic_ate_config.yml

@@ -10,8 +10,6 @@ dgp_parameters:
   - 500
   dim_x:
   - 20
-  balanced_r0:
-  - false
 learner_definitions:
   lasso: &id001
     name: LassoCV

results/plm/logistic_ate_coverage.csv

@@ -1,13 +1,13 @@
 Learner m,Learner M,Learner t,Score,level,Coverage,CI Length,Bias,repetition
-LGBM Regr.,LGBM Clas.,LGBM Regr.,instrument,0.9,0.634,2.132568969077688,0.8086721712178914,500
-LGBM Regr.,LGBM Clas.,LGBM Regr.,instrument,0.95,0.732,2.5411126591772386,0.8086721712178914,500
-LGBM Regr.,LGBM Clas.,LGBM Regr.,nuisance_space,0.9,0.99,1.9454977395479216,0.24795234910718517,500
-LGBM Regr.,LGBM Clas.,LGBM Regr.,nuisance_space,0.95,0.996,2.3182035404482284,0.24795234910718517,500
-LassoCV,Logistic,LassoCV,instrument,0.9,0.862,1.1086348225322677,0.30791966387256126,500
-LassoCV,Logistic,LassoCV,instrument,0.95,0.924,1.3210198698332598,0.30791966387256126,500
-LassoCV,Logistic,LassoCV,nuisance_space,0.9,0.882,0.9499848768071947,0.24286882983701666,500
-LassoCV,Logistic,LassoCV,nuisance_space,0.95,0.928,1.1319767995713301,0.24286882983701666,500
-RF Regr.,RF Clas.,RF Regr.,instrument,0.9,0.598,1.0627422718182507,0.48472206759927056,500
-RF Regr.,RF Clas.,RF Regr.,instrument,0.95,0.71,1.2663355227981636,0.48472206759927056,500
-RF Regr.,RF Clas.,RF Regr.,nuisance_space,0.9,0.95,1.0969635901105794,0.2038171758444602,500
-RF Regr.,RF Clas.,RF Regr.,nuisance_space,0.95,0.986,1.3071127386290677,0.2038171758444602,500
+LGBM Regr.,LGBM Clas.,LGBM Regr.,instrument,0.9,0.872,0.6540916267945179,0.17501445022837125,500
+LGBM Regr.,LGBM Clas.,LGBM Regr.,instrument,0.95,0.928,0.7793982455949509,0.17501445022837125,500
+LGBM Regr.,LGBM Clas.,LGBM Regr.,nuisance_space,0.9,0.88,0.598241346108922,0.15586913796966942,500
+LGBM Regr.,LGBM Clas.,LGBM Regr.,nuisance_space,0.95,0.946,0.7128485314583201,0.15586913796966942,500
+LassoCV,Logistic,LassoCV,instrument,0.9,0.856,0.5890452894815547,0.16482024691605957,500
+LassoCV,Logistic,LassoCV,instrument,0.95,0.924,0.7018907541253692,0.16482024691605957,500
+LassoCV,Logistic,LassoCV,nuisance_space,0.9,0.868,0.5820699058557912,0.1507959338822808,500
+LassoCV,Logistic,LassoCV,nuisance_space,0.95,0.93,0.6935790718815301,0.1507959338822808,500
+RF Regr.,RF Clas.,RF Regr.,instrument,0.9,0.884,0.39484117997902796,0.09883032061915417,500
+RF Regr.,RF Clas.,RF Regr.,instrument,0.95,0.95,0.4704822846799266,0.09883032061915417,500
+RF Regr.,RF Clas.,RF Regr.,nuisance_space,0.9,0.886,0.38499391911236014,0.09772003875711463,500
+RF Regr.,RF Clas.,RF Regr.,nuisance_space,0.95,0.94,0.45874854963578754,0.09772003875711463,500

results/plm/logistic_ate_metadata.csv

@@ -1,2 +1,2 @@
 DoubleML Version,Script,Date,Total Runtime (minutes),Python Version,Config File
-0.11.dev0,LPLRATECoverageSimulation,2025-11-17 11:05,142.97858368555706,3.12.3,scripts/plm/lplr_ate_config.yml
+0.11.dev0,LPLRATECoverageSimulation,2025-11-18 03:13,39.79484195311864,3.12.9,scripts/plm/lplr_ate_config.yml

results/plm/lplr_ate_config.yml

@@ -10,7 +10,6 @@ dgp_parameters:
   theta: [0.5] # Treatment effect
   n_obs: [500] # Sample size
   dim_x: [20] # Number of covariates
-  balanced_r0: [False] # Whether to use balanced r0 function
 
 # Define reusable learner configurations
 learner_definitions: