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Update results from script: scripts/did/did_cs_multi.py
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‎results/did/did_cs_multi_detailed.csv‎

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Learner g,Learner m,Score,In-sample-norm.,DGP,level,Coverage,CI Length,Bias,Uniform Coverage,Uniform CI Length,Loss g_d0_t0,Loss g_d1_t0,Loss g_d0_t1,Loss g_d1_t1,Loss m,repetition
2-
LGBM Regr.,LGBM Clas.,experimental,False,1,0.9,0.8948333333333334,3.2830873544118973,0.7905246305869522,0.878,5.150445591303714,6.529012705055243,5.971591086257874,10.328170306432364,9.338187819987848,,500
3-
LGBM Regr.,LGBM Clas.,experimental,False,1,0.95,0.943,3.912039872308984,0.7905246305869522,0.918,5.647198685341647,6.529012705055243,5.971591086257874,10.328170306432364,9.338187819987848,,500
4-
LGBM Regr.,LGBM Clas.,experimental,False,4,0.9,0.8888333333333334,2.844466891799001,0.6885591812636256,0.854,4.471361471167187,5.49672067934481,5.5627529789128,8.596569266811002,8.692269838482467,,500
5-
LGBM Regr.,LGBM Clas.,experimental,False,4,0.95,0.9426666666666667,3.389391354825466,0.6885591812636256,0.93,4.894219128111993,5.49672067934481,5.5627529789128,8.596569266811002,8.692269838482467,,500
6-
LGBM Regr.,LGBM Clas.,experimental,False,6,0.9,0.9556666666666667,2.879356008655542,0.563136502516892,0.976,4.5265237334540265,5.568585668370725,5.5708138758932755,8.717635002907942,8.745078576056867,,500
7-
LGBM Regr.,LGBM Clas.,experimental,False,6,0.95,0.982,3.4309643017252864,0.563136502516892,0.99,4.956034625046507,5.568585668370725,5.5708138758932755,8.717635002907942,8.745078576056867,,500
8-
LGBM Regr.,LGBM Clas.,experimental,True,1,0.9,0.8898333333333334,3.2855480715558047,0.7925255864973799,0.864,5.148118901661281,6.529908690098191,5.973881547103242,10.330575563495493,9.339187189951378,,500
9-
LGBM Regr.,LGBM Clas.,experimental,True,1,0.95,0.9466666666666667,3.9149719976356234,0.7925255864973799,0.93,5.644728532586285,6.529908690098191,5.973881547103242,10.330575563495493,9.339187189951378,,500
10-
LGBM Regr.,LGBM Clas.,experimental,True,4,0.9,0.8911666666666667,2.8465845975978494,0.6902411381722026,0.862,4.480023796591902,5.496857322731734,5.563946426541767,8.598689315021057,8.692831647041208,,500
11-
LGBM Regr.,LGBM Clas.,experimental,True,4,0.95,0.9458333333333334,3.3919147569249515,0.6902411381722026,0.914,4.9050776614464,5.496857322731734,5.563946426541767,8.598689315021057,8.692831647041208,,500
12-
LGBM Regr.,LGBM Clas.,experimental,True,6,0.9,0.9566666666666667,2.879829540706673,0.5621215752155799,0.982,4.526560646254027,5.5658080803951355,5.566873062122812,8.7223284024544,8.73466619111826,,500
13-
LGBM Regr.,LGBM Clas.,experimental,True,6,0.95,0.9853333333333334,3.4315285499663064,0.5621215752155799,0.992,4.9551572605720136,5.5658080803951355,5.566873062122812,8.7223284024544,8.73466619111826,,500
14-
LGBM Regr.,LGBM Clas.,observational,False,1,0.9,0.9345,13.566107370796667,3.156203158080535,0.98,21.466049810522417,6.539994802184515,5.973269082413658,10.326203789622623,9.333269582636964,0.6228342742079863,500
15-
LGBM Regr.,LGBM Clas.,observational,False,1,0.95,0.9758333333333333,16.16501396932463,3.156203158080535,0.99,23.441953996389923,6.539994802184515,5.973269082413658,10.326203789622623,9.333269582636964,0.6228342742079863,500
16-
LGBM Regr.,LGBM Clas.,observational,False,4,0.9,0.9383333333333334,17.049514287226252,3.8977889491567326,0.982,26.942749312309623,5.49820919055802,5.56231515347221,8.592032677818445,8.691991611947572,0.6201741214154282,500
17-
LGBM Regr.,LGBM Clas.,observational,False,4,0.95,0.979,20.31574932220423,3.8977889491567326,0.99,29.463057587759266,5.49820919055802,5.56231515347221,8.592032677818445,8.691991611947572,0.6201741214154282,500
18-
LGBM Regr.,LGBM Clas.,observational,False,6,0.9,0.9343333333333333,12.912451946599292,2.9790962411068262,0.974,20.46111266779684,5.570412424931189,5.571249339496609,8.721906076545734,8.739139903977934,0.6422004668547441,500
19-
LGBM Regr.,LGBM Clas.,observational,False,6,0.95,0.9755,15.386135491182756,2.9790962411068262,0.992,22.329332333996213,5.570412424931189,5.571249339496609,8.721906076545734,8.739139903977934,0.6422004668547441,500
20-
LGBM Regr.,LGBM Clas.,observational,True,1,0.9,0.9233333333333333,6.524364326070442,1.5309731831894777,0.968,10.334575922006346,6.533363534487095,5.971300642723277,10.333879162599889,9.338928235430592,0.6228870985183892,500
21-
LGBM Regr.,LGBM Clas.,observational,True,1,0.95,0.969,7.774259600725721,1.5309731831894777,0.988,11.284482812781963,6.533363534487095,5.971300642723277,10.333879162599889,9.338928235430592,0.6228870985183892,500
22-
LGBM Regr.,LGBM Clas.,observational,True,4,0.9,0.9271666666666666,8.120563583606312,1.87935095952718,0.956,12.850646100351266,5.497024467973652,5.561705991839951,8.598908854808856,8.697130181650616,0.6200653371867182,500
23-
LGBM Regr.,LGBM Clas.,observational,True,4,0.95,0.9663333333333334,9.676248328268699,1.87935095952718,0.984,14.03278855249602,5.497024467973652,5.561705991839951,8.598908854808856,8.697130181650616,0.6200653371867182,500
24-
LGBM Regr.,LGBM Clas.,observational,True,6,0.9,0.9213333333333333,6.6094363292091955,1.5603343477125857,0.958,10.478363068742587,5.567728058114271,5.565810352790264,8.723859471474745,8.748303462480818,0.6422195316953053,500
25-
LGBM Regr.,LGBM Clas.,observational,True,6,0.95,0.9686666666666667,7.875629144807079,1.5603343477125857,0.978,11.424720967753759,5.567728058114271,5.565810352790264,8.723859471474745,8.748303462480818,0.6422195316953053,500
26-
Linear,Logistic,experimental,False,1,0.9,0.9343333333333333,0.5930083456838477,0.12864878211567826,0.97,0.9243472043854039,1.4295992306361773,1.4330546917841038,1.429518759916539,1.4330406192994734,,500
27-
Linear,Logistic,experimental,False,1,0.95,0.9741666666666666,0.7066130268540366,0.12864878211567826,0.984,1.015277007289849,1.4295992306361773,1.4330546917841038,1.429518759916539,1.4330406192994734,,500
28-
Linear,Logistic,experimental,False,4,0.9,0.8713333333333334,4.042996953041611,1.035254687931219,0.774,6.331752330812926,7.321203694870776,7.346131491554703,11.64725757683623,11.681722152595224,,500
29-
Linear,Logistic,experimental,False,4,0.95,0.9228333333333334,4.817528008405892,1.035254687931219,0.872,6.944382961584366,7.321203694870776,7.346131491554703,11.64725757683623,11.681722152595224,,500
30-
Linear,Logistic,experimental,False,6,0.9,0.9695,4.172592762180764,0.7634896264348398,0.988,6.524477317492066,7.550175427553588,7.556429625112174,12.025860286964557,12.040054324254646,,500
31-
Linear,Logistic,experimental,False,6,0.95,0.9888333333333333,4.9719509396005845,0.7634896264348398,0.996,7.151762120893509,7.550175427553588,7.556429625112174,12.025860286964557,12.040054324254646,,500
32-
Linear,Logistic,experimental,True,1,0.9,0.9361666666666666,0.5931872736638272,0.1285002344801602,0.97,0.9251438785538513,1.4297918493317698,1.4330925114028943,1.4293702283423204,1.4329931580822406,,500
33-
Linear,Logistic,experimental,True,1,0.95,0.9748333333333333,0.7068262326924407,0.1285002344801602,0.984,1.0160327067441004,1.4297918493317698,1.4330925114028943,1.4293702283423204,1.4329931580822406,,500
34-
Linear,Logistic,experimental,True,4,0.9,0.871,4.0435720671226765,1.0371934135593674,0.774,6.334225922315667,7.323311676355966,7.344360645532968,11.642096575677263,11.677492827934593,,500
35-
Linear,Logistic,experimental,True,4,0.95,0.9231666666666666,4.818213299101321,1.0371934135593674,0.874,6.948027719766065,7.323311676355966,7.344360645532968,11.642096575677263,11.677492827934593,,500
36-
Linear,Logistic,experimental,True,6,0.9,0.971,4.174251882625067,0.7630296556829933,0.992,6.5319943608697075,7.548119183671262,7.553679375292848,12.029982381647429,12.03807004700978,,500
37-
Linear,Logistic,experimental,True,6,0.95,0.988,4.973927903546533,0.7630296556829933,0.996,7.167445771503166,7.548119183671262,7.553679375292848,12.029982381647429,12.03807004700978,,500
38-
Linear,Logistic,observational,False,1,0.9,0.9453333333333334,0.6266838299116687,0.13075595687490973,0.964,0.9764916746623766,1.429784694426536,1.4329505976144656,1.4291241852600243,1.4329541248714088,0.6726411653413342,500
39-
Linear,Logistic,observational,False,1,0.95,0.9768333333333333,0.7467398412811679,0.13075595687490973,0.99,1.0724684603926742,1.429784694426536,1.4329505976144656,1.4291241852600243,1.4329541248714088,0.6726411653413342,500
40-
Linear,Logistic,observational,False,4,0.9,0.9146666666666666,4.72220550626216,1.0733407456458857,0.908,7.358742552326081,7.320918262983893,7.344987719740365,11.64578061747396,11.683490956761295,0.6727156283420664,500
41-
Linear,Logistic,observational,False,4,0.95,0.956,5.626854917798485,1.0733407456458857,0.956,8.077846895033455,7.320918262983893,7.344987719740365,11.64578061747396,11.683490956761295,0.6727156283420664,500
42-
Linear,Logistic,observational,False,6,0.9,0.9663333333333334,4.4204071967449075,0.83081067954948,0.992,6.907472623878251,7.551175726994974,7.5537324174863825,12.022003691902198,12.043921588667528,0.6939549766503083,500
43-
Linear,Logistic,observational,False,6,0.95,0.9891666666666666,5.2672400514318145,0.83081067954948,0.998,7.5770000862337765,7.551175726994974,7.5537324174863825,12.022003691902198,12.043921588667528,0.6939549766503083,500
44-
Linear,Logistic,observational,True,1,0.9,0.9453333333333334,0.6237042612804836,0.13012199108160083,0.978,0.9709486800687264,1.429604920909707,1.4329244697458479,1.4294178559782575,1.4329066396637211,0.6726299128735583,500
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Linear,Logistic,observational,True,1,0.95,0.9765,0.7431894662746018,0.13012199108160083,0.986,1.0662190247379428,1.429604920909707,1.4329244697458479,1.4294178559782575,1.4329066396637211,0.6726299128735583,500
46-
Linear,Logistic,observational,True,4,0.9,0.9145,4.704161731924539,1.0635596526821411,0.898,7.333082137368709,7.323380222410015,7.344796263558695,11.642358468389633,11.684277895003406,0.6726867966907344,500
47-
Linear,Logistic,observational,True,4,0.95,0.9581666666666666,5.605354434553389,1.0635596526821411,0.958,8.048312145049582,7.323380222410015,7.344796263558695,11.642358468389633,11.684277895003406,0.6726867966907344,500
48-
Linear,Logistic,observational,True,6,0.9,0.9671666666666666,4.397302717436081,0.8290139350413114,0.994,6.877204061757652,7.545350590491914,7.557135124700455,12.030935164798441,12.038482179518887,0.6939598068809577,500
49-
Linear,Logistic,observational,True,6,0.95,0.9881666666666666,5.2397093662785235,0.8290139350413114,1.0,7.537511716366531,7.545350590491914,7.557135124700455,12.030935164798441,12.038482179518887,0.6939598068809577,500
2+
LGBM Regr.,LGBM Clas.,experimental,False,1,0.9,0.8998333333333334,3.3125096194345844,0.7826860599680568,0.874,5.190622294862132,6.617282691976663,5.988405546643561,10.433768136791137,9.401627631428449,,500
3+
LGBM Regr.,LGBM Clas.,experimental,False,1,0.95,0.9491666666666666,3.94709866346412,0.7826860599680568,0.924,5.688320448375571,6.617282691976663,5.988405546643561,10.433768136791137,9.401627631428449,,500
4+
LGBM Regr.,LGBM Clas.,experimental,False,4,0.9,0.8925,2.8443984995799974,0.6946961050569026,0.85,4.47385955752261,5.478783669135401,5.5473424625830665,8.578982469210048,8.69589502771623,,500
5+
LGBM Regr.,LGBM Clas.,experimental,False,4,0.95,0.9438333333333334,3.3893098604700582,0.6946961050569026,0.934,4.894365177002075,5.478783669135401,5.5473424625830665,8.578982469210048,8.69589502771623,,500
6+
LGBM Regr.,LGBM Clas.,experimental,False,6,0.9,0.9583333333333334,2.8722638889426007,0.5547519589032016,0.984,4.516928273001306,5.558095521410893,5.564711313324499,8.69537790943,8.729681431584753,,500
7+
LGBM Regr.,LGBM Clas.,experimental,False,6,0.95,0.9866666666666666,3.4225135198540912,0.5547519589032016,0.992,4.945026241307186,5.558095521410893,5.564711313324499,8.69537790943,8.729681431584753,,500
8+
LGBM Regr.,LGBM Clas.,experimental,True,1,0.9,0.8971666666666667,3.3133694587670433,0.7877473595148027,0.868,5.192402551317713,6.6136666751556525,5.987226860773448,10.428640368494829,9.40200596142953,,500
9+
LGBM Regr.,LGBM Clas.,experimental,True,1,0.95,0.9485,3.9481232252223806,0.7877473595148027,0.93,5.693392740297791,6.6136666751556525,5.987226860773448,10.428640368494829,9.40200596142953,,500
10+
LGBM Regr.,LGBM Clas.,experimental,True,4,0.9,0.895,2.8450922417521425,0.6936321338225757,0.85,4.472132834713051,5.483600251103322,5.545699398474001,8.587704431322381,8.68529322791349,,500
11+
LGBM Regr.,LGBM Clas.,experimental,True,4,0.95,0.9435,3.390136505254543,0.6936321338225757,0.918,4.897290164597576,5.483600251103322,5.545699398474001,8.587704431322381,8.68529322791349,,500
12+
LGBM Regr.,LGBM Clas.,experimental,True,6,0.9,0.9571666666666666,2.8748599891408184,0.5612303158396071,0.984,4.515619941533206,5.556215492953239,5.566798575190458,8.697387677372742,8.732028582264512,,500
13+
LGBM Regr.,LGBM Clas.,experimental,True,6,0.95,0.9825,3.4256069640398783,0.5612303158396071,0.994,4.945054636407004,5.556215492953239,5.566798575190458,8.697387677372742,8.732028582264512,,500
14+
LGBM Regr.,LGBM Clas.,observational,False,1,0.9,0.935,13.859697053308652,3.217955633214692,0.974,21.93451136853079,6.61431322341285,5.989098338531844,10.441531473425052,9.401922782821982,0.6223517773930638,500
15+
LGBM Regr.,LGBM Clas.,observational,False,1,0.95,0.9746666666666667,16.514847653323926,3.217955633214692,0.992,23.956160800648714,6.61431322341285,5.989098338531844,10.441531473425052,9.401922782821982,0.6223517773930638,500
16+
LGBM Regr.,LGBM Clas.,observational,False,4,0.9,0.9428333333333334,17.032345278494457,3.864575332779374,0.984,26.925514038366096,5.483529511409194,5.544572471266972,8.573728123423898,8.686222700734833,0.620652439220559,500
17+
LGBM Regr.,LGBM Clas.,observational,False,4,0.95,0.9803333333333334,20.29529118646911,3.864575332779374,0.994,29.404302891187243,5.483529511409194,5.544572471266972,8.573728123423898,8.686222700734833,0.620652439220559,500
18+
LGBM Regr.,LGBM Clas.,observational,False,6,0.9,0.9386666666666666,13.00077820868831,2.9868542494843107,0.982,20.613043350884578,5.556447030625612,5.566332217435632,8.697349572684388,8.724714850333458,0.6425912403978503,500
19+
LGBM Regr.,LGBM Clas.,observational,False,6,0.95,0.9776666666666667,15.491382723974143,2.9868542494843107,0.996,22.510996928795095,5.556447030625612,5.566332217435632,8.697349572684388,8.724714850333458,0.6425912403978503,500
20+
LGBM Regr.,LGBM Clas.,observational,True,1,0.9,0.924,6.692125082774109,1.5592940552590642,0.962,10.587759646934659,6.610953777859591,5.987558649973095,10.431331456540903,9.398209506600173,0.6227191384163594,500
21+
LGBM Regr.,LGBM Clas.,observational,True,1,0.95,0.9665,7.9741588718649865,1.5592940552590642,0.988,11.561670514923387,6.610953777859591,5.987558649973095,10.431331456540903,9.398209506600173,0.6227191384163594,500
22+
LGBM Regr.,LGBM Clas.,observational,True,4,0.9,0.9268333333333334,7.978285486073211,1.8193263319083899,0.954,12.629428048973397,5.481503486929605,5.549881921443366,8.586152274155427,8.691875547038066,0.6204308565768274,500
23+
LGBM Regr.,LGBM Clas.,observational,True,4,0.95,0.9661666666666666,9.506713518371608,1.8193263319083899,0.98,13.796787321478446,5.481503486929605,5.549881921443366,8.586152274155427,8.691875547038066,0.6204308565768274,500
24+
LGBM Regr.,LGBM Clas.,observational,True,6,0.9,0.9258333333333334,6.659405492936204,1.5618321839612377,0.962,10.561572025184674,5.5560627139726915,5.569138600194468,8.697199773476768,8.730173653898916,0.6422062286736312,500
25+
LGBM Regr.,LGBM Clas.,observational,True,6,0.95,0.9693333333333334,7.935171075856613,1.5618321839612377,0.98,11.533983370482504,5.5560627139726915,5.569138600194468,8.697199773476768,8.730173653898916,0.6422062286736312,500
26+
Linear,Logistic,experimental,False,1,0.9,0.9251666666666666,0.5935812439707215,0.13009419102278003,0.95,0.9249059784854823,1.4326492523105687,1.4311291054269213,1.4325223901031552,1.4317781279701975,,500
27+
Linear,Logistic,experimental,False,1,0.95,0.968,0.7072956772678356,0.13009419102278003,0.97,1.0148607138151193,1.4326492523105687,1.4311291054269213,1.4325223901031552,1.4317781279701975,,500
28+
Linear,Logistic,experimental,False,4,0.9,0.8713333333333334,4.053822589654013,1.0450624650623617,0.804,6.341922848402283,7.312512104360314,7.364921614399227,11.66805513936815,11.709611562434787,,500
29+
Linear,Logistic,experimental,False,4,0.95,0.9275,4.830427550056508,1.0450624650623617,0.882,6.957235839248235,7.312512104360314,7.364921614399227,11.66805513936815,11.709611562434787,,500
30+
Linear,Logistic,experimental,False,6,0.9,0.9666666666666667,4.180660537727563,0.7756239290159009,0.992,6.539220241148233,7.557717971919393,7.578566933659404,12.021131413918786,12.099925992696773,,500
31+
Linear,Logistic,experimental,False,6,0.95,0.9888333333333333,4.981564287103356,0.7756239290159009,0.998,7.17172513038786,7.557717971919393,7.578566933659404,12.021131413918786,12.099925992696773,,500
32+
Linear,Logistic,experimental,True,1,0.9,0.9268333333333334,0.5937431012082774,0.1300720754684952,0.944,0.9256122234292026,1.4329230075255606,1.4311831659455172,1.4323891463629586,1.4316481461552522,,500
33+
Linear,Logistic,experimental,True,1,0.95,0.9678333333333333,0.7074885420620329,0.1300720754684952,0.968,1.0161433286659824,1.4329230075255606,1.4311831659455172,1.4323891463629586,1.4316481461552522,,500
34+
Linear,Logistic,experimental,True,4,0.9,0.8711666666666666,4.055807369230813,1.0467020154273383,0.8,6.3456105820568585,7.3172880998807335,7.363134149481367,11.67348808958302,11.711262037657798,,500
35+
Linear,Logistic,experimental,True,4,0.95,0.9243333333333333,4.832792560793048,1.0467020154273383,0.896,6.959823578774457,7.3172880998807335,7.363134149481367,11.67348808958302,11.711262037657798,,500
36+
Linear,Logistic,experimental,True,6,0.9,0.9663333333333334,4.181772837537743,0.7748496412394084,0.996,6.544156963583238,7.557221578348061,7.57757429903331,12.027039927351481,12.089940358101535,,500
37+
Linear,Logistic,experimental,True,6,0.95,0.9888333333333333,4.982889674075328,0.7748496412394084,1.0,7.1790229493931355,7.557221578348061,7.57757429903331,12.027039927351481,12.089940358101535,,500
38+
Linear,Logistic,observational,False,1,0.9,0.9428333333333334,0.6281850936025,0.13147427123375507,0.968,0.9773797597904551,1.4329203952287997,1.430880633417486,1.4322896879071867,1.4315357933534285,0.6727048864100559,500
39+
Linear,Logistic,observational,False,1,0.95,0.9761666666666666,0.7485287073037211,0.13147427123375507,0.992,1.0737535903149242,1.4329203952287997,1.430880633417486,1.4322896879071867,1.4315357933534285,0.6727048864100559,500
40+
Linear,Logistic,observational,False,4,0.9,0.9163333333333333,4.7580275802995695,1.0905205319808382,0.924,7.419482280389843,7.317311353635984,7.363258557040041,11.670171139311439,11.70683555690419,0.6729428054402635,500
41+
Linear,Logistic,observational,False,4,0.95,0.9601666666666666,5.669539551746721,1.0905205319808382,0.97,8.139156670831637,7.317311353635984,7.363258557040041,11.670171139311439,11.70683555690419,0.6729428054402635,500
42+
Linear,Logistic,observational,False,6,0.9,0.9676666666666667,4.408320212540459,0.8178925331505947,0.996,6.887058695249832,7.555869504377207,7.576817624543539,12.017894502902424,12.091627342634094,0.6939649419526995,500
43+
Linear,Logistic,observational,False,6,0.95,0.9901666666666666,5.25283752142291,0.8178925331505947,0.998,7.556168033117604,7.555869504377207,7.576817624543539,12.017894502902424,12.091627342634094,0.6939649419526995,500
44+
Linear,Logistic,observational,True,1,0.9,0.9411666666666666,0.625207007570724,0.1311533017004224,0.98,0.9734732907887752,1.432718050716034,1.4309229860904062,1.432554830777679,1.4318056942597368,0.6727122522683564,500
45+
Linear,Logistic,observational,True,1,0.95,0.9761666666666666,0.7449800989233144,0.1311533017004224,0.996,1.068834893145094,1.432718050716034,1.4309229860904062,1.432554830777679,1.4318056942597368,0.6727122522683564,500
46+
Linear,Logistic,observational,True,4,0.9,0.9213333333333333,4.740984347430622,1.08102522295854,0.94,7.393057540757745,7.317555311981951,7.362601753308157,11.670615292305248,11.711325063822715,0.6729405659549627,500
47+
Linear,Logistic,observational,True,4,0.95,0.958,5.649231287196046,1.08102522295854,0.97,8.112794509952831,7.317555311981951,7.362601753308157,11.670615292305248,11.711325063822715,0.6729405659549627,500
48+
Linear,Logistic,observational,True,6,0.9,0.9683333333333334,4.380856543549146,0.8170315570147886,0.988,6.849802922193696,7.559243151805225,7.5771914622592105,12.019363662222768,12.096028014111692,0.6939192119435217,500
49+
Linear,Logistic,observational,True,6,0.95,0.9893333333333334,5.220112541385589,0.8170315570147886,0.996,7.5097644590109285,7.559243151805225,7.5771914622592105,12.019363662222768,12.096028014111692,0.6939192119435217,500

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