{"id":4706,"date":"2026-08-13T14:51:40","date_gmt":"2026-08-13T12:51:40","guid":{"rendered":"https:\/\/ellistat.com\/?post_type=guide-dutilisateur&#038;p=4706"},"modified":"2026-08-13T14:51:40","modified_gmt":"2026-08-13T12:51:40","slug":"melleklet-fogalommeghatarozasok-3","status":"publish","type":"guide-dutilisateur","link":"https:\/\/ellistat.com\/hu\/guide-dutilisateur\/annexe-definitions-3\/","title":{"rendered":"Mell\u00e9klet: fogalommeghat\u00e1roz\u00e1sok"},"content":{"rendered":"<ul class=\"wp-block-list\">\n<li><strong>Sablon<\/strong>\u00a0: illesztett f\u00fcggv\u00e9ny, amely az X-ekb\u0151l megj\u00f3solja az Y-t. <\/li>\n\n\n\n<li><strong>X \/ Y<\/strong>\u00a0: a magyar\u00e1z\u00f3 t\u00e9nyez\u0151k \u00e9s a becs\u00fclt v\u00e1lasz. <\/li>\n\n\n\n<li><strong>Tesztvonalak<\/strong>\u00a0: a tanul\u00e1si folyamatb\u00f3l kiz\u00e1rt sorok, amelyek a modell ellen\u0151rz\u00e9s\u00e9re szolg\u00e1lnak. <\/li>\n\n\n\n<li><strong>T\u00falbe\u00e1ll\u00edt\u00e1s<\/strong>\u00a0: olyan modell, amely a betan\u00edt\u00e1si adatait pontosan visszaadja, de az \u00faj adatokon kudarcot vall. <\/li>\n\n\n\n<li><strong>R\u00b2 \/ korrig\u00e1lt R\u00b2<\/strong>\u00a0: a magyar\u00e1zott variabilit\u00e1s ar\u00e1nya, a m\u00e1sodik pedig a tagok sz\u00e1m\u00e1t veszi figyelembe. <\/li>\n\n\n\n<li><strong>VIF<\/strong>\u00a0: a variancia infl\u00e1ci\u00f3s t\u00e9nyez\u0151je; egy tag \u00e9s a t\u00f6bbi tag k\u00f6z\u00f6tti redundanci\u00e1t m\u00e9ri. <\/li>\n\n\n\n<li><strong>Konf\u00fazi\u00f3s m\u00e1trix<\/strong>\u00a0: a megfigyelt \u00e9s az el\u0151rejelzett oszt\u00e1lyok keresztez\u00e9se, kvalitat\u00edv Y-v\u00e1ltoz\u00f3 eset\u00e9n. <\/li>\n\n\n\n<li><strong>K\u00edv\u00e1natos jelleg<\/strong>\u00a0: egy 0 \u00e9s 1 k\u00f6z\u00f6tti el\u00e9gedetts\u00e9gi \u00e9rt\u00e9kel\u00e9s ford\u00edt\u00e1sa. Az \u00e1ltal\u00e1nos k\u00edv\u00e1natoss\u00e1g az\u00a0<strong>term\u00e9k<\/strong>\u00a0az egy\u00e9ni preferenci\u00e1k. <\/li>\n\n\n\n<li><strong>Gauss-eloszl\u00e1s<\/strong>\u00a0: egy \u00e9rt\u00e9ket el\u0151rejelz\u0151 modell\u00a0<strong>\u00e9s<\/strong>\u00a0minden tekintetben bizonytalans\u00e1ga. <\/li>\n\n\n\n<li><strong>Bayesi optimaliz\u00e1l\u00e1s<\/strong>\u00a0: a v\u00e9grehajtand\u00f3 k\u00eds\u00e9rletek egym\u00e1st k\u00f6vet\u0151 kiv\u00e1laszt\u00e1sa, amelyet egy gauss-eloszl\u00e1s\u00fa folyamat ir\u00e1ny\u00edt. <\/li>\n\n\n\n<li><strong>Kitermel\u00e9s \/ felt\u00e1r\u00e1s<\/strong>\u00a0: az ismert optimum k\u00f6r\u00fcl finom\u00edtani, vagy az ismeretlen ter\u00fcletet felt\u00e1rni. <\/li>\n\n\n\n<li><strong>V\u00e1rhat\u00f3 nyeres\u00e9g (EI)<\/strong>\u00a0: a javasolt k\u00eds\u00e9rlet v\u00e1rhat\u00f3 javul\u00e1sa a jelenlegi legjobb eredm\u00e9nyhez k\u00e9pest. \u2013\u00a0<strong>Leave-one-out (LOO) keresztellen\u0151rz\u00e9s<\/strong>\u00a0: minden k\u00eds\u00e9rletet \u00fagy j\u00f3solnak meg, mintha nem hajtott\u00e1k volna v\u00e9gre. <\/li>\n\n\n\n<li><strong>Q\u00b2 (predikt\u00edv R\u00b2)<\/strong>\u00a0: A \u201eleave-one-out\u201d el\u0151rejelz\u00e9sek alapj\u00e1n kisz\u00e1m\u00edtott R\u00b2-\u00e9rt\u00e9k. A predikt\u00edv k\u00e9pess\u00e9g val\u00f3di mutat\u00f3ja. \u2013\u00a0<strong>Bor\u00edt\u00f3 95 %<\/strong>\u00a0: a bejelentett el\u0151rejelz\u00e9si tartom\u00e1nyba es\u0151 k\u00eds\u00e9rletek ar\u00e1nya. <\/li>\n\n\n\n<li><strong>Nugget<\/strong>\u00a0: a m\u00e9r\u00e9si \u00e9s folyamatbeli zajnak tulajdon\u00edthat\u00f3 variabilit\u00e1s ar\u00e1nya. <\/li>\n\n\n\n<li><strong>ARD<\/strong>\u00a0: korrel\u00e1ci\u00f3s hosszok t\u00e9nyez\u0151nk\u00e9nt; a r\u00f6vid hossz azt jelzi, hogy a modell a v\u00e1lasz er\u0151teljesen reag\u00e1l az adott t\u00e9nyez\u0151re. <\/li>\n\n\n\n<li><strong>Simplex<\/strong>\u00a0: azoknak a kever\u00e9keknek a tartom\u00e1nya, amelyek ar\u00e1nyainak \u00f6sszege 1. <\/li>\n\n\n\n<li><strong>H\u00e1romkomponens\u0171 diagram<\/strong>\u00a0: egy h\u00e1romkomponens\u0171 kever\u00e9k h\u00e1romsz\u00f6gdiagramja.<\/li>\n<\/ul>","protected":false},"featured_media":0,"menu_order":70,"template":"","meta":{"_acf_changed":true},"menu-guide-dutilisateur":[32],"class_list":["post-4706","guide-dutilisateur","type-guide-dutilisateur","status-publish","hentry","menu-guide-dutilisateur-8-ml-machine-learning"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - 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