Update results from script: scripts/plm/plr_ate_coverage.py

Author: github-actions

results/plm/plr_ate_coverage.csv

@@ -1,21 +1,17 @@
-Learner g,Learner m,Score,level,Coverage,CI Length,Bias,repetition
-LGBM,LGBM,IV-type,0.9,0.882,0.16071165852972294,0.04006345992726611,1000
-LGBM,LGBM,IV-type,0.95,0.938,0.19149975259363877,0.04006345992726611,1000
-LGBM,LGBM,partialling out,0.9,0.842,0.14721491277053025,0.042110152606416054,1000
-LGBM,LGBM,partialling out,0.95,0.906,0.17541738808225127,0.042110152606416054,1000
-Lasso,Lasso,IV-type,0.9,0.866,0.14050109787041962,0.03660923399902996,1000
-Lasso,Lasso,IV-type,0.95,0.915,0.16741738419894311,0.03660923399902996,1000
-Lasso,Lasso,partialling out,0.9,0.879,0.1474715771739181,0.03630990507775283,1000
-Lasso,Lasso,partialling out,0.95,0.931,0.17572322258236175,0.03630990507775283,1000
-Lasso,Random Forest,IV-type,0.9,0.886,0.1474535680840687,0.03770184842456424,1000
-Lasso,Random Forest,IV-type,0.95,0.939,0.17570176342823354,0.03770184842456424,1000
-Lasso,Random Forest,partialling out,0.9,0.785,0.14384571087180478,0.045773052530728796,1000
-Lasso,Random Forest,partialling out,0.95,0.883,0.17140273640142992,0.045773052530728796,1000
-Random Forest,Lasso,IV-type,0.9,0.879,0.14285466535066815,0.036599158846521436,1000
-Random Forest,Lasso,IV-type,0.95,0.93,0.17022183282640022,0.036599158846521436,1000
-Random Forest,Lasso,partialling out,0.9,0.892,0.15286076950172306,0.03825604774970179,1000
-Random Forest,Lasso,partialling out,0.95,0.939,0.1821448413180263,0.03825604774970179,1000
-Random Forest,Random Forest,IV-type,0.9,0.885,0.15036250130159673,0.037935837399518176,1000
-Random Forest,Random Forest,IV-type,0.95,0.944,0.17916797114809854,0.037935837399518176,1000
-Random Forest,Random Forest,partialling out,0.9,0.881,0.14718055225415835,0.03854156805613427,1000
-Random Forest,Random Forest,partialling out,0.95,0.934,0.17537644500167823,0.03854156805613427,1000
+Learner g,Learner m,score,level,Coverage,CI Length,Bias,repetition
+Lasso,Lasso,IV-type,0.9,0.881,0.1393979255576113,0.0352891099128789,1000
+Lasso,Lasso,IV-type,0.95,0.945,0.16610287331091153,0.0352891099128789,1000
+Lasso,Lasso,partialling out,0.9,0.908,0.14646362984437974,0.034686755904342816,1000
+Lasso,Lasso,partialling out,0.95,0.956,0.17452217926042807,0.034686755904342816,1000
+Lasso,Random Forest,IV-type,0.9,0.898,0.14672410325315619,0.036150217819390894,1000
+Lasso,Random Forest,IV-type,0.95,0.954,0.1748325524704008,0.036150217819390894,1000
+Lasso,Random Forest,partialling out,0.9,0.817,0.143330638432391,0.04191262539042403,1000
+Lasso,Random Forest,partialling out,0.95,0.886,0.17078898973477283,0.04191262539042403,1000
+Random Forest,Lasso,IV-type,0.9,0.877,0.141921407652651,0.035804568203505666,1000
+Random Forest,Lasso,IV-type,0.95,0.948,0.16910978768971624,0.035804568203505666,1000
+Random Forest,Lasso,partialling out,0.9,0.903,0.15198241550336503,0.03618790663815028,1000
+Random Forest,Lasso,partialling out,0.95,0.954,0.1810982179746172,0.03618790663815028,1000
+Random Forest,Random Forest,IV-type,0.9,0.907,0.1493755431098695,0.03649624902429271,1000
+Random Forest,Random Forest,IV-type,0.95,0.949,0.1779919379264572,0.03649624902429271,1000
+Random Forest,Random Forest,partialling out,0.9,0.884,0.14638253610723148,0.036967300943126565,1000
+Random Forest,Random Forest,partialling out,0.95,0.942,0.17442555011265587,0.036967300943126565,1000

results/plm/plr_ate_coverage_metadata.csv

@@ -1,2 +1,2 @@
 DoubleML Version,Script,Date,Total Runtime (seconds),Python Version
-0.10.dev0,plr_ate_coverage.py,2025-01-08 14:10:27,6916.502653360367,3.12.8
+0.10.dev0,plr_ate_coverage.py,2025-04-24 09:36:42,6508.21887755394,3.12.3