Etiqueta de registo: 00254nam 2200025 450
001 2260770
003 http://id.bnportugal.gov.pt/bib/catbnp/2260770
100 ## $a20260204d2025 k y0pory01030103ba
101 0# $aeng$dpor
102 ## $aPT
105 ## $ay m 000yy
106 ## $ar
200 1# $aBalancing predictive power and interpretability in machine learning$e a focus on regression and XGBoost models$fAntónio Miguel Arantes da Silva$gsupervisor Alberto Adrego Pinto, Javier Martínez Torres, Wenceslao González-Manteiga
210 #9 $aPorto$c[s.n.],$d2025
215 ## $a[4], 171 p.$d30 cm
328 #1 $aTese dout. Mathematics, Faculdade de Ciências, Universidade do Porto, [etc.], 2025
675 ## $a519.8(043)$vBN$zpor$31250739
675 ## $a004.8(043)$vBN$zpor$31234122
700 #1 $aSilva,$bAntónio Miguel Arantes da$31983481
702 #1 $aPinto,$bAlberto Adrego$4727$31157977
702 #1 $aMartínez Torres,$bJavier$4727$31983485
702 #1 $aGonzález-Manteiga,$bWenceslao$4727$31983488
801 #0 $aPT$bBN$gRPC
856 40 $2Cópia digital disponível no Repositório Aberto da Universidade do Porto$uhttps://hdl.handle.net/10216/172405
966 ## $lBN$mFGMON$sS.A. 193059 V.$x1
971 ## $cabrito$d20260204
972 ## $e0$z0$d20260218$vasantos
973 ## $cmlsousa$d20260210