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Best predictive power is understood as highest\naccuracy in case of binary/multinomial outcomes, smallest\nabsolute and relative errors in case of continuous outcomes.\nFor binary case there is also an option of finding a regression\nmodel which gives the highest AUROC (Area Under Receiver\nOperating Curve) value. The option of parallel toolbox is also\navailable. Methods are described in Peduzzi et al. (1996)\n , Rhemtulla et al. (2012)\n, Riley et al. (2018)\n, Riley et al. 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