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,0.9,0.078,1.1838339830161526,0.9284629204120292,1.0,0.936,0.11706718159870112,0.058134359561696,1.6948353167191215,0.26598096146580197,500
+LGBM,Random Forest,IV-type,0.95,0.176,1.4106251962897096,0.9284629204120292,1.0,0.99,0.11706718159870112,0.04301383836086259,1.6948353167191215,0.26598096146580197,500
+LGBM,Random Forest,partialling out,0.9,0.086,1.2429894487532662,0.9950306719680438,1.0,0.928,0.11840599523128223,0.06014723707947923,1.8101975263360996,0.29100166237609104,500
+LGBM,Random Forest,partialling out,0.95,0.148,1.4811132813288146,0.9950306719680438,1.0,0.98,0.11840599523128223,0.045182462073214504,1.8101975263360996,0.29100166237609104,500
+Random Forest,LGBM,IV-type,0.9,0.566,1.899626850133317,0.8880539202684316,1.0,0.998,0.07200043735278143,0.018305683679739147,2.120147429487342,0.4656159493536836,500
+Random Forest,LGBM,IV-type,0.95,0.746,2.2635450044433725,0.8880539202684316,1.0,1.0,0.07200043735278143,0.008671199476776914,2.120147429487342,0.4656159493536836,500
+Random Forest,LGBM,partialling out,0.9,0.002,1.5140477405908301,1.5731546878983491,1.0,0.83,0.12821046992923293,0.08047445195178365,2.774729569778034,0.40407728189451836,500
+Random Forest,LGBM,partialling out,0.95,0.008,1.804099157401693,1.5731546878983491,1.0,0.948,0.12821046992923293,0.06696088607192313,2.774729569778034,0.40407728189451836,500
+Random Forest,Random Forest,IV-type,0.9,0.01,1.7146246887321768,1.6147802774438333,1.0,0.892,0.11921570180694094,0.07016680024004021,2.9441846644720684,0.3940869566060415,500
+Random Forest,Random Forest,IV-type,0.95,0.042,2.043101332455167,1.6147802774438333,1.0,0.972,0.11921570180694094,0.05632386808702946,2.9441846644720684,0.3940869566060415,500
+Random Forest,Random Forest,partialling out,0.9,0.0,1.7428116454944356,1.7404826195551244,1.0,0.828,0.12836069509728124,0.07843487138656559,3.0651903476419413,0.46471318404652623,500
+Random Forest,Random Forest,partialling out,0.95,0.02,2.0766881630293903,1.7404826195551244,1.0,0.93,0.12836069509728124,0.06432351155843387,3.0651903476419413,0.46471318404652623,500

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 16:11:17,15234.57352733612,3.12.8