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

Author: github-actions

results/plm/plr_ate_sensitivity.csv

@@ -1,17 +1,17 @@
 Learner g,Learner m,score,level,Coverage,CI Length,Bias,Coverage (Lower),Coverage (Upper),RV,RVa,Bias (Lower),Bias (Upper),repetition
 LGBM,LGBM,IV-type,0.9,0.49,1.2836841849471865,0.642852034975727,1.0,0.998,0.0883267598773138,0.025200860015212666,1.3451446703513257,0.27137365708627864,500
-LGBM,LGBM,IV-type,0.95,0.65,1.529604050351386,0.642852034975727,1.0,1.0,0.0883267598773138,0.013790413915027113,1.3451446703513257,0.27137365708627864,500
+LGBM,LGBM,IV-type,0.95,0.65,1.529604050351386,0.642852034975727,1.0,1.0,0.0883267598773138,0.013790413915027114,1.3451446703513257,0.27137365708627864,500
 LGBM,LGBM,partialling out,0.9,0.052,1.0555526522517718,0.9216896766797483,1.0,0.878,0.12290629723561408,0.0667859903596657,1.6463724503661545,0.2830593598175856,500
 LGBM,LGBM,partialling out,0.95,0.114,1.2577685626857555,0.9216896766797483,1.0,0.962,0.12290629723561408,0.05210975377693211,1.6463724503661545,0.2830593598175856,500
-LGBM,Random Forest,IV-type,0.9,0.072,1.1846157067784349,0.9322070273917288,1.0,0.934,0.11754241223304673,0.058515658188839345,1.6980814469560257,0.26726499739118403,500
-LGBM,Random Forest,IV-type,0.95,0.16,1.4115566776050241,0.9322070273917288,1.0,0.994,0.11754241223304673,0.04334326180178758,1.6980814469560257,0.26726499739118403,500
-LGBM,Random Forest,partialling out,0.9,0.078,1.2415314353647366,0.9950962660593035,1.0,0.918,0.11842149116467734,0.06021024644530299,1.8099982510012884,0.29229694861359934,500
-LGBM,Random Forest,partialling out,0.95,0.15,1.479375951220122,0.9950962660593035,1.0,0.98,0.11842149116467734,0.04525082945770369,1.8099982510012884,0.29229694861359934,500
-Random Forest,LGBM,IV-type,0.9,0.554,1.900486623597139,0.8881666888956794,1.0,1.0,0.07201385567825232,0.01814220891090863,2.11967639571274,0.46266796209857214,500
-Random Forest,LGBM,IV-type,0.95,0.746,2.2645694877143114,0.8881666888956794,1.0,1.0,0.07201385567825232,0.008578785415219068,2.11967639571274,0.46266796209857214,500
-Random Forest,LGBM,partialling out,0.9,0.002,1.5126486531347854,1.573242725840773,1.0,0.818,0.12824967172299567,0.08055028818351519,2.774465314925881,0.4031005519125824,500
-Random Forest,LGBM,partialling out,0.95,0.008,1.8024320418722997,1.573242725840773,1.0,0.948,0.12824967172299567,0.06705003584560411,2.774465314925881,0.4031005519125824,500
-Random Forest,Random Forest,IV-type,0.9,0.012,1.7129890288584426,1.6194855098925158,1.0,0.892,0.11959162432568951,0.07060214596391444,2.948463222220921,0.39969580126755805,500
-Random Forest,Random Forest,IV-type,0.95,0.038,2.041152323503278,1.6194855098925158,1.0,0.972,0.11959162432568951,0.05677408319758889,2.948463222220921,0.39969580126755805,500
-Random Forest,Random Forest,partialling out,0.9,0.0,1.7381117353695532,1.7366675645551972,1.0,0.824,0.1281371703134689,0.07833372270549209,3.0610973455175285,0.4635968018257515,500
-Random Forest,Random Forest,partialling out,0.95,0.018,2.0710878746970973,1.7366675645551972,1.0,0.946,0.1281371703134689,0.0642547167440049,3.0610973455175285,0.4635968018257515,500
+LGBM,Random Forest,IV-type,0.9,0.076,1.1831625247072215,0.9308062239804228,1.0,0.946,0.11734274159129685,0.05847446162225632,1.6971412413918896,0.26673626718612453,500
+LGBM,Random Forest,IV-type,0.95,0.15,1.40982510436599,0.9308062239804228,1.0,0.99,0.11734274159129685,0.04330052167462019,1.6971412413918896,0.26673626718612453,500
+LGBM,Random Forest,partialling out,0.9,0.074,1.2408824102177636,0.9969465002467008,1.0,0.93,0.11861197624692194,0.06042868914339051,1.8119621159758381,0.29323133175754634,500
+LGBM,Random Forest,partialling out,0.95,0.148,1.4786025900575936,0.9969465002467008,1.0,0.978,0.11861197624692194,0.04546020549453332,1.8119621159758381,0.29323133175754634,500
+Random Forest,LGBM,IV-type,0.9,0.556,1.9014670092481476,0.8897746033367344,1.0,1.0,0.07211930902619489,0.018402978138876647,2.1220916883044794,0.46567125428407596,500
+Random Forest,LGBM,IV-type,0.95,0.754,2.26573768927064,0.8897746033367344,1.0,1.0,0.07211930902619489,0.008809037433830246,2.1220916883044794,0.46567125428407596,500
+Random Forest,LGBM,partialling out,0.9,0.002,1.5148779135183594,1.5704287430339756,1.0,0.828,0.12800123432195906,0.0802383681199541,2.771929499160999,0.4014709332877519,500
+Random Forest,LGBM,partialling out,0.95,0.01,1.805088369458156,1.5704287430339756,1.0,0.942,0.12800123432195906,0.06673188982925375,2.771929499160999,0.4014709332877519,500
+Random Forest,Random Forest,IV-type,0.9,0.008,1.712740468910975,1.6062309195696611,1.0,0.896,0.11862651936611456,0.06965279743071341,2.9355183176965993,0.3908974740734249,500
+Random Forest,Random Forest,IV-type,0.95,0.042,2.040856146058031,1.6062309195696611,1.0,0.972,0.11862651936611456,0.05582930384773342,2.9355183176965993,0.3908974740734249,500
+Random Forest,Random Forest,partialling out,0.9,0.002,1.7398328179227547,1.738765052841725,1.0,0.826,0.12823635224819166,0.07839810366339917,3.0635620106955765,0.4647217397313531,500
+Random Forest,Random Forest,partialling out,0.95,0.016,2.0731386710496866,1.738765052841725,1.0,0.942,0.12823635224819166,0.06431405001184519,3.0635620106955765,0.4647217397313531,500

results/plm/plr_ate_sensitivity_metadata.csv

@@ -1,2 +1,2 @@
 DoubleML Version,Script,Date,Total Runtime (seconds),Python Version
-0.10.dev0,plr_ate_sensitivity.py,2025-01-08 16:36:12,15659.224347829819,3.12.8
+0.10.dev0,plr_ate_sensitivity.py,2025-04-24 10:27:15,9539.846628665924,3.12.3