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

Author: github-actions

results/plm/plr_ate_sensitivity.csv

@@ -3,15 +3,15 @@ LGBM,LGBM,IV-type,0.9,0.49,1.2836841849471865,0.642852034975727,1.0,0.998,0.0883
 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,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,0.9,0.078,1.184374175040171,0.9303727898138584,1.0,0.93,0.11734531842973916,0.058352142660030235,1.69604622782609,0.2643812093502701,500
-LGBM,Random Forest,IV-type,0.95,0.156,1.4112688747875797,0.9303727898138584,1.0,0.99,0.11734531842973916,0.04323181121508746,1.69604622782609,0.2643812093502701,500
-LGBM,Random Forest,partialling out,0.9,0.084,1.2435979692296912,0.9936323407573932,1.0,0.922,0.11823008469813917,0.059953740141804185,1.808730525763834,0.28983882276077305,500
-LGBM,Random Forest,partialling out,0.95,0.15,1.4818383781995061,0.9936323407573932,1.0,0.98,0.11823008469813917,0.044968170232848895,1.808730525763834,0.28983882276077305,500
-Random Forest,LGBM,IV-type,0.9,0.578,1.901432984855821,0.8851340786844124,1.0,0.998,0.07172805783693792,0.017973636776769754,2.1182623031362136,0.46763713903364934,500
-Random Forest,LGBM,IV-type,0.95,0.76,2.2656971467065694,0.8851340786844124,1.0,1.0,0.07172805783693792,0.00845453203170999,2.1182623031362136,0.46763713903364934,500
-Random Forest,LGBM,partialling out,0.9,0.0,1.5151603860403846,1.5745474280897056,1.0,0.822,0.12823732317433292,0.08050869779411943,2.776861477164536,0.4034510284688934,500
-Random Forest,LGBM,partialling out,0.95,0.004,1.8054249562283828,1.5745474280897056,1.0,0.95,0.12823732317433292,0.06699482596842689,2.776861477164536,0.4034510284688934,500
-Random Forest,Random Forest,IV-type,0.9,0.012,1.7145713653083217,1.6172976560808119,1.0,0.892,0.11945164498301562,0.07039474321397683,2.9458275814460917,0.4036703674065015,500
-Random Forest,Random Forest,IV-type,0.95,0.046,2.0430377936766546,1.6172976560808119,1.0,0.976,0.11945164498301562,0.05654861229503384,2.9458275814460917,0.4036703674065015,500
-Random Forest,Random Forest,partialling out,0.9,0.0,1.738078162618324,1.7342386320328749,1.0,0.818,0.1279559082185197,0.07815181936018857,3.058821980497253,0.4608008360779255,500
-Random Forest,Random Forest,partialling out,0.95,0.022,2.071047870296588,1.7342386320328749,1.0,0.944,0.1279559082185197,0.06407192337097008,3.058821980497253,0.4608008360779255,500
+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

results/plm/plr_ate_sensitivity_metadata.csv

@@ -1,2 +1,2 @@
 DoubleML Version,Script,Date,Total Runtime (seconds),Python Version
-0.9.0,plr_ate_sensitivity.py,2024-09-09 11:52:27,16128.665112733841,3.12.5
+0.10.dev0,plr_ate_sensitivity.py,2025-01-08 16:36:12,15659.224347829819,3.12.8