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Update results from script: scripts/did/did_pa_multi.py
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Learner g,Learner m,Score,In-sample-norm.,DGP,level,Coverage,CI Length,Bias,Uniform Coverage,Uniform CI Length,repetition
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LGBM Regr.,LGBM Clas.,experimental,False,1,0.95,0.455,0.7890600482274513,0.4760789469976553,0.09,1.095657479091583,500
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LGBM Regr.,LGBM Clas.,experimental,False,4,0.9,0.3965,0.6378199657300768,0.4732109643228897,0.06,0.9698764406659528,500
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LGBM Regr.,LGBM Clas.,experimental,False,6,0.9,0.9025,0.6328401432350504,0.14980045984980536,0.894,0.9623147617420064,500
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LGBM Regr.,LGBM Clas.,observational,False,1,0.95,0.9781666666666666,1.0109460262527277,0.18581715397253995,0.984,1.4315482130550377,500
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LGBM Regr.,LGBM Clas.,observational,False,6,0.9,0.9358333333333334,0.8012781498847246,0.17217182529588215,0.944,1.222603881202094,500
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LGBM Regr.,LGBM Clas.,observational,True,1,0.95,0.9728333333333333,0.9070307489184465,0.16720500271357613,0.978,1.287704160787801,500
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LGBM Regr.,LGBM Clas.,observational,True,4,0.9,0.8948333333333334,1.0400365030584322,0.24325349291636317,0.868,1.5686170162912925,500
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LGBM Regr.,LGBM Clas.,observational,True,6,0.95,0.9616666666666667,0.881283769682401,0.16444852263415236,0.966,1.2475888364019896,500
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LGBM Regr.,LGBM Clas.,experimental,False,6,0.9,0.9068333333333334,0.6319876715013313,0.1496835272788454,0.902,0.961159835023131,500
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LGBM Regr.,LGBM Clas.,observational,False,1,0.9,0.9413333333333334,0.8473750602173274,0.18142333577766562,0.966,1.2982618812879472,500
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LGBM Regr.,LGBM Clas.,observational,False,4,0.9,0.9361666666666666,1.1805935901738753,0.24311470255923542,0.928,1.7694514143349136,500
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Linear,Logistic,observational,True,6,0.95,0.9493333333333334,1.2185618032976842,0.2537626388753708,0.954,1.6473969037298655,500

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