{"id":478045,"date":"2023-08-09T09:26:29","date_gmt":"2023-08-09T09:26:29","guid":{"rendered":""},"modified":"2023-09-05T11:15:58","modified_gmt":"2023-09-05T11:15:58","slug":"model-drift","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/vn\/wiki\/model-drift\/","title":{"rendered":"M\u00f4 h\u00ecnh tr\u00f4i d\u1ea1t"},"content":{"rendered":"<p>S\u1ef1 tr\u00f4i d\u1ea1t c\u1ee7a m\u00f4 h\u00ecnh \u0111\u1ec1 c\u1eadp \u0111\u1ebfn hi\u1ec7n t\u01b0\u1ee3ng c\u00e1c thu\u1ed9c t\u00ednh th\u1ed1ng k\u00ea c\u1ee7a bi\u1ebfn m\u1ee5c ti\u00eau m\u00e0 m\u00f4 h\u00ecnh \u0111ang c\u1ed1 g\u1eafng d\u1ef1 \u0111o\u00e1n thay \u0111\u1ed5i theo th\u1eddi gian theo nh\u1eefng c\u00e1ch kh\u00f4ng th\u1ec3 \u0111o\u00e1n tr\u01b0\u1edbc. \u0110i\u1ec1u n\u00e0y khi\u1ebfn cho c\u00e1c d\u1ef1 \u0111o\u00e1n c\u1ee7a m\u00f4 h\u00ecnh tr\u1edf n\u00ean k\u00e9m ch\u00ednh x\u00e1c h\u01a1n theo th\u1eddi gian, khi\u1ebfn n\u00f3 k\u00e9m hi\u1ec7u qu\u1ea3 h\u01a1n. S\u1ef1 tr\u00f4i d\u1ea1t c\u00f3 th\u1ec3 x\u1ea3y ra v\u00ec nhi\u1ec1u l\u00fd do kh\u00e1c nhau, ch\u1eb3ng h\u1ea1n nh\u01b0 thay \u0111\u1ed5i trong ph\u00e2n ph\u1ed1i d\u1eef li\u1ec7u c\u01a1 b\u1ea3n ho\u1eb7c m\u00f4i tr\u01b0\u1eddng ho\u1eb7c thay \u0111\u1ed5i h\u00e0nh vi c\u1ee7a ng\u01b0\u1eddi ti\u00eau d\u00f9ng.<\/p>\n<h2>L\u1ecbch s\u1eed ngu\u1ed3n g\u1ed1c c\u1ee7a Model Drift v\u00e0 s\u1ef1 \u0111\u1ec1 c\u1eadp \u0111\u1ea7u ti\u00ean v\u1ec1 n\u00f3<\/h2>\n<p>S\u1ef1 tr\u00f4i d\u1ea1t c\u1ee7a m\u00f4 h\u00ecnh kh\u00f4ng ph\u1ea3i l\u00e0 m\u1ed9t kh\u00e1i ni\u1ec7m m\u1edbi v\u00e0 c\u00f3 ngu\u1ed3n g\u1ed1c t\u1eeb l\u00fd thuy\u1ebft th\u1ed1ng k\u00ea. V\u1ea5n \u0111\u1ec1 \u0111\u00e3 \u0111\u01b0\u1ee3c ng\u1ea7m hi\u1ec3u ngay t\u1eeb nh\u1eefng n\u0103m 1960 trong b\u1ed1i c\u1ea3nh ph\u00e2n t\u00edch chu\u1ed7i th\u1eddi gian kh\u00f4ng d\u1eebng. Tuy nhi\u00ean, n\u00f3 \u0111\u00e3 tr\u1edf n\u00ean n\u1ed5i b\u1eadt h\u01a1n v\u1edbi s\u1ef1 ph\u00e1t tri\u1ec3n c\u1ee7a h\u1ecdc m\u00e1y v\u00e0 ph\u00e2n t\u00edch d\u1eef li\u1ec7u l\u1edbn trong th\u1ebf k\u1ef7 21. B\u1ea3n th\u00e2n thu\u1eadt ng\u1eef \u201cs\u1ef1 tr\u00f4i d\u1ea1t m\u00f4 h\u00ecnh\u201d b\u1eaft \u0111\u1ea7u \u0111\u01b0\u1ee3c c\u00f4ng nh\u1eadn r\u1ed9ng r\u00e3i v\u00e0o \u0111\u1ea7u nh\u1eefng n\u0103m 2000, khi c\u00e1c t\u1ed5 ch\u1ee9c b\u1eaft \u0111\u1ea7u tri\u1ec3n khai c\u00e1c m\u00f4 h\u00ecnh ph\u1ee9c t\u1ea1p trong m\u00f4i tr\u01b0\u1eddng n\u0103ng \u0111\u1ed9ng.<\/p>\n<h2>Th\u00f4ng tin chi ti\u1ebft v\u1ec1 Model Drift: M\u1edf r\u1ed9ng ch\u1ee7 \u0111\u1ec1 Model Drift<\/h2>\n<p>S\u1ef1 tr\u00f4i d\u1ea1t m\u00f4 h\u00ecnh c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c ph\u00e2n lo\u1ea1i th\u00e0nh hai lo\u1ea1i: s\u1ef1 tr\u00f4i d\u1ea1t \u0111\u1ed3ng bi\u1ebfn v\u00e0 s\u1ef1 tr\u00f4i d\u1ea1t kh\u00e1i ni\u1ec7m.<\/p>\n<ol>\n<li><strong>Tr\u00f4i \u0111\u1ed3ng bi\u1ebfn<\/strong>: \u0110i\u1ec1u n\u00e0y x\u1ea3y ra khi vi\u1ec7c ph\u00e2n ph\u1ed1i d\u1eef li\u1ec7u (t\u00ednh n\u0103ng) \u0111\u1ea7u v\u00e0o thay \u0111\u1ed5i, nh\u01b0ng m\u1ed1i quan h\u1ec7 gi\u1eefa \u0111\u1ea7u v\u00e0o v\u00e0 \u0111\u1ea7u ra v\u1eabn gi\u1eef nguy\u00ean.<\/li>\n<li><strong>Kh\u00e1i ni\u1ec7m tr\u00f4i d\u1ea1t<\/strong>: \u0110i\u1ec1u n\u00e0y x\u1ea3y ra khi m\u1ed1i quan h\u1ec7 gi\u1eefa \u0111\u1ea7u v\u00e0o v\u00e0 \u0111\u1ea7u ra thay \u0111\u1ed5i theo th\u1eddi gian.<\/li>\n<\/ol>\n<p>Vi\u1ec7c ph\u00e1t hi\u1ec7n \u0111\u1ed9 l\u1ec7ch c\u1ee7a m\u00f4 h\u00ecnh l\u00e0 r\u1ea5t quan tr\u1ecdng \u0111\u1ec3 duy tr\u00ec \u0111\u1ed9 ch\u00ednh x\u00e1c v\u00e0 \u0111\u1ed9 tin c\u1eady c\u1ee7a m\u00f4 h\u00ecnh. C\u00e1c k\u1ef9 thu\u1eadt ph\u00e1t hi\u1ec7n \u0111\u1ed9 l\u1ec7ch bao g\u1ed3m ki\u1ec3m tra th\u1ed1ng k\u00ea, theo d\u00f5i s\u1ed1 li\u1ec7u hi\u1ec7u su\u1ea5t v\u00e0 s\u1eed d\u1ee5ng c\u00e1c thu\u1eadt to\u00e1n ph\u00e1t hi\u1ec7n \u0111\u1ed9 l\u1ec7ch chuy\u00ean d\u1ee5ng.<\/p>\n<h2>C\u1ea5u tr\u00fac b\u00ean trong c\u1ee7a Model Drift: M\u00f4 h\u00ecnh Drift ho\u1ea1t \u0111\u1ed9ng nh\u01b0 th\u1ebf n\u00e0o<\/h2>\n<p>S\u1ef1 tr\u00f4i d\u1ea1t m\u00f4 h\u00ecnh l\u00e0 m\u1ed9t hi\u1ec7n t\u01b0\u1ee3ng ph\u1ee9c t\u1ea1p b\u1ecb \u1ea3nh h\u01b0\u1edfng b\u1edfi nhi\u1ec1u y\u1ebfu t\u1ed1 kh\u00e1c nhau. C\u1ea5u tr\u00fac b\u00ean trong c\u00f3 th\u1ec3 hi\u1ec3u nh\u01b0 sau:<\/p>\n<ol>\n<li><strong>Ngu\u1ed3n d\u1eef li\u1ec7u<\/strong>: Nh\u1eefng thay \u0111\u1ed5i v\u1ec1 ngu\u1ed3n d\u1eef li\u1ec7u ho\u1eb7c ph\u01b0\u01a1ng ph\u00e1p thu th\u1eadp d\u1eef li\u1ec7u c\u00f3 th\u1ec3 d\u1eabn \u0111\u1ebfn sai l\u1ec7ch.<\/li>\n<li><strong>S\u1ef1 thay \u0111\u1ed5i m\u00f4i tr\u01b0\u1eddng<\/strong>: Nh\u1eefng thay \u0111\u1ed5i trong m\u00f4i tr\u01b0\u1eddng ho\u1eb7c b\u1ed1i c\u1ea3nh m\u00e0 m\u00f4 h\u00ecnh v\u1eadn h\u00e0nh c\u00f3 th\u1ec3 d\u1eabn \u0111\u1ebfn s\u1ef1 tr\u00f4i d\u1ea1t.<\/li>\n<li><strong>\u0110\u1ed9 ph\u1ee9c t\u1ea1p c\u1ee7a m\u00f4 h\u00ecnh<\/strong>: C\u00e1c m\u00f4 h\u00ecnh qu\u00e1 ph\u1ee9c t\u1ea1p c\u00f3 th\u1ec3 d\u1ec5 b\u1ecb tr\u00f4i d\u1ea1t h\u01a1n.<\/li>\n<li><strong>Th\u1eddi gian<\/strong>: Theo th\u1eddi gian, nh\u1eefng di\u1ec5n bi\u1ebfn t\u1ef1 nhi\u00ean trong c\u00e1c m\u00f4 h\u00ecnh c\u01a1 b\u1ea3n c\u00f3 th\u1ec3 d\u1eabn \u0111\u1ebfn s\u1ef1 tr\u00f4i d\u1ea1t.<\/li>\n<\/ol>\n<h2>Ph\u00e2n t\u00edch c\u00e1c t\u00ednh n\u0103ng ch\u00ednh c\u1ee7a Model Drift<\/h2>\n<ul>\n<li><strong>Kh\u1ea3 n\u0103ng ph\u00e1t hi\u1ec7n<\/strong>: M\u1ed9t s\u1ed1 d\u1ea1ng tr\u00f4i d\u1ea1t d\u1ec5 \u0111\u01b0\u1ee3c ph\u00e1t hi\u1ec7n h\u01a1n nh\u1eefng d\u1ea1ng kh\u00e1c.<\/li>\n<li><strong>Kh\u1ea3 n\u0103ng \u0111\u1ea3o ng\u01b0\u1ee3c<\/strong>: M\u1ed9t s\u1ed1 sai l\u1ec7ch c\u00f3 th\u1ec3 l\u00e0 t\u1ea1m th\u1eddi v\u00e0 c\u00f3 th\u1ec3 \u0111\u1ea3o ng\u01b0\u1ee3c, trong khi m\u1ed9t s\u1ed1 kh\u00e1c l\u00e0 v\u0129nh vi\u1ec5n.<\/li>\n<li><strong>M\u1ee9c \u0111\u1ed9 nghi\u00eam tr\u1ecdng<\/strong>: T\u00e1c \u0111\u1ed9ng c\u1ee7a s\u1ef1 tr\u00f4i d\u1ea1t c\u00f3 th\u1ec3 t\u1eeb nh\u1ecf \u0111\u1ebfn nghi\u00eam tr\u1ecdng.<\/li>\n<li><strong>T\u1ed1c \u0111\u1ed9<\/strong>: S\u1ef1 tr\u00f4i d\u1ea1t c\u00f3 th\u1ec3 x\u1ea3y ra t\u1eeb t\u1eeb ho\u1eb7c \u0111\u1ed9t ng\u1ed9t.<\/li>\n<\/ul>\n<h2>C\u00e1c lo\u1ea1i m\u00f4 h\u00ecnh tr\u00f4i d\u1ea1t: S\u1eed d\u1ee5ng b\u1ea3ng v\u00e0 danh s\u00e1ch<\/h2>\n<table>\n<thead>\n<tr>\n<th>Ki\u1ec3u<\/th>\n<th>S\u1ef1 mi\u00eau t\u1ea3<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Tr\u00f4i \u0111\u1ed3ng bi\u1ebfn<\/td>\n<td>Nh\u1eefng thay \u0111\u1ed5i trong vi\u1ec7c ph\u00e2n ph\u1ed1i d\u1eef li\u1ec7u \u0111\u1ea7u v\u00e0o.<\/td>\n<\/tr>\n<tr>\n<td>Kh\u00e1i ni\u1ec7m tr\u00f4i d\u1ea1t<\/td>\n<td>Thay \u0111\u1ed5i m\u1ed1i quan h\u1ec7 gi\u1eefa \u0111\u1ea7u v\u00e0o v\u00e0 \u0111\u1ea7u ra.<\/td>\n<\/tr>\n<tr>\n<td>Tr\u00f4i d\u1ea7n d\u1ea7n<\/td>\n<td>S\u1ef1 tr\u00f4i d\u1ea1t x\u1ea3y ra ch\u1eadm theo th\u1eddi gian.<\/td>\n<\/tr>\n<tr>\n<td>Tr\u00f4i \u0111\u1ed9t ng\u1ed9t<\/td>\n<td>S\u1ef1 tr\u00f4i d\u1ea1t x\u1ea3y ra \u0111\u1ed9t ng\u1ed9t.<\/td>\n<\/tr>\n<tr>\n<td>Tr\u00f4i gia t\u0103ng<\/td>\n<td>S\u1ef1 tr\u00f4i d\u1ea1t x\u1ea3y ra d\u1ea7n d\u1ea7n theo t\u1eebng b\u01b0\u1edbc nh\u1ecf.<\/td>\n<\/tr>\n<tr>\n<td>Tr\u00f4i theo m\u00f9a<\/td>\n<td>S\u1ef1 tr\u00f4i d\u1ea1t theo m\u00f4 h\u00ecnh theo m\u00f9a.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng M\u00f4 h\u00ecnh tr\u00f4i d\u1ea1t, c\u00e1c v\u1ea5n \u0111\u1ec1 v\u00e0 gi\u1ea3i ph\u00e1p li\u00ean quan \u0111\u1ebfn vi\u1ec7c s\u1eed d\u1ee5ng<\/h2>\n<ul>\n<li><strong>S\u1eed d\u1ee5ng<\/strong>: Gi\u00e1m s\u00e1t v\u00e0 th\u00edch \u1ee9ng v\u1edbi s\u1ef1 tr\u00f4i d\u1ea1t c\u1ee7a m\u00f4 h\u00ecnh l\u00e0 r\u1ea5t quan tr\u1ecdng \u0111\u1ed1i v\u1edbi nhi\u1ec1u ng\u00e0nh nh\u01b0 t\u00e0i ch\u00ednh, y t\u1ebf v\u00e0 th\u01b0\u01a1ng m\u1ea1i \u0111i\u1ec7n t\u1eed.<\/li>\n<li><strong>C\u00e1c v\u1ea5n \u0111\u1ec1<\/strong>: Thi\u1ebfu nh\u1eadn th\u1ee9c, c\u00f4ng c\u1ee5 gi\u00e1m s\u00e1t kh\u00f4ng \u0111\u1ea7y \u0111\u1ee7, kh\u00f4ng th\u00edch \u1ee9ng k\u1ecbp th\u1eddi.<\/li>\n<li><strong>C\u00e1c gi\u1ea3i ph\u00e1p<\/strong>: Gi\u00e1m s\u00e1t th\u01b0\u1eddng xuy\u00ean, s\u1eed d\u1ee5ng c\u00e1c k\u1ef9 thu\u1eadt ph\u00e1t hi\u1ec7n sai l\u1ec7ch, c\u1eadp nh\u1eadt m\u00f4 h\u00ecnh khi c\u1ea7n thi\u1ebft, s\u1eed d\u1ee5ng c\u00e1c ph\u01b0\u01a1ng ph\u00e1p t\u1ed5ng h\u1ee3p.<\/li>\n<\/ul>\n<h2>C\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh v\u00e0 nh\u1eefng so s\u00e1nh kh\u00e1c v\u1edbi c\u00e1c thu\u1eadt ng\u1eef t\u01b0\u01a1ng t\u1ef1<\/h2>\n<ul>\n<li><strong>Tr\u00f4i m\u00f4 h\u00ecnh so v\u1edbi Tr\u00f4i d\u1eef li\u1ec7u<\/strong>: Trong khi s\u1ef1 tr\u00f4i d\u1ea1t c\u1ee7a m\u00f4 h\u00ecnh \u0111\u1ec1 c\u1eadp \u0111\u1ebfn nh\u1eefng thay \u0111\u1ed5i \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn hi\u1ec7u su\u1ea5t c\u1ee7a m\u00f4 h\u00ecnh, th\u00ec s\u1ef1 tr\u00f4i d\u1ea1t d\u1eef li\u1ec7u c\u1ee5 th\u1ec3 l\u00e0 v\u1ec1 nh\u1eefng thay \u0111\u1ed5i trong ph\u00e2n ph\u1ed1i d\u1eef li\u1ec7u.<\/li>\n<li><strong>S\u1ef1 tr\u00f4i d\u1ea1t c\u1ee7a m\u00f4 h\u00ecnh so v\u1edbi s\u1ef1 thi\u00ean v\u1ecb c\u1ee7a m\u00f4 h\u00ecnh<\/strong>: \u0110\u1ed9 l\u1ec7ch m\u00f4 h\u00ecnh l\u00e0 l\u1ed7i h\u1ec7 th\u1ed1ng trong d\u1ef1 \u0111o\u00e1n, trong khi \u0111\u1ed9 l\u1ec7ch l\u00e0 s\u1ef1 thay \u0111\u1ed5i trong c\u1ea5u tr\u00fac c\u01a1 b\u1ea3n.<\/li>\n<\/ul>\n<h2>Quan \u0111i\u1ec3m v\u00e0 c\u00f4ng ngh\u1ec7 c\u1ee7a t\u01b0\u01a1ng lai li\u00ean quan \u0111\u1ebfn Model Drift<\/h2>\n<p>Tri\u1ec3n v\u1ecdng trong t\u01b0\u01a1ng lai bao g\u1ed3m c\u00e1c m\u00f4 h\u00ecnh m\u1ea1nh m\u1ebd v\u00e0 d\u1ec5 th\u00edch \u1ee9ng h\u01a1n, h\u1ec7 th\u1ed1ng gi\u00e1m s\u00e1t th\u1eddi gian th\u1ef1c v\u00e0 t\u1ef1 \u0111\u1ed9ng h\u00f3a trong vi\u1ec7c x\u1eed l\u00fd t\u00ecnh tr\u1ea1ng tr\u00f4i d\u1ea1t. T\u1eadn d\u1ee5ng AI v\u00e0 t\u00edch h\u1ee3p h\u1ecdc t\u1eadp li\u00ean t\u1ee5c \u0111\u01b0\u1ee3c coi l\u00e0 con \u0111\u01b0\u1eddng quan tr\u1ecdng ph\u00eda tr\u01b0\u1edbc.<\/p>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng ho\u1eb7c li\u00ean k\u1ebft m\u00e1y ch\u1ee7 proxy v\u1edbi Model Drift<\/h2>\n<p>Trong c\u00e1c ng\u00e0nh d\u1ef1a tr\u00ean d\u1eef li\u1ec7u, c\u00e1c m\u00e1y ch\u1ee7 proxy gi\u1ed1ng nh\u01b0 m\u00e1y ch\u1ee7 do OneProxy cung c\u1ea5p c\u00f3 th\u1ec3 gi\u00fap theo d\u00f5i v\u00e0 ph\u00e1t hi\u1ec7n s\u1ef1 tr\u00f4i d\u1ea1t c\u1ee7a m\u00f4 h\u00ecnh. B\u1eb1ng c\u00e1ch \u0111\u1ea3m b\u1ea3o lu\u1ed3ng d\u1eef li\u1ec7u li\u00ean t\u1ee5c v\u00e0 nh\u1ea5t qu\u00e1n, m\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 t\u1ea1o \u0111i\u1ec1u ki\u1ec7n thu\u1eadn l\u1ee3i cho vi\u1ec7c ph\u00e2n t\u00edch th\u1eddi gian th\u1ef1c c\u1ea7n thi\u1ebft \u0111\u1ec3 x\u00e1c \u0111\u1ecbnh v\u00e0 \u1ee9ng ph\u00f3 v\u1edbi t\u00ecnh tr\u1ea1ng tr\u00f4i d\u1ea1t.<\/p>\n<h2>Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n<ul>\n<li><a href=\"https:\/\/www.example.com\/model-drift\" target=\"_new\" rel=\"noopener nofollow\">Hi\u1ec3u m\u00f4 h\u00ecnh tr\u00f4i d\u1ea1t<\/a><\/li>\n<li><a href=\"https:\/\/www.example.com\/detection-methods\" target=\"_new\" rel=\"noopener nofollow\">K\u1ef9 thu\u1eadt ph\u00e1t hi\u1ec7n s\u1ef1 tr\u00f4i d\u1ea1t c\u1ee7a m\u00f4 h\u00ecnh<\/a><\/li>\n<li><a href=\"https:\/\/oneproxy.pro\/vn\/solutions\/\" target=\"_new\" rel=\"noopener\">Gi\u1ea3i ph\u00e1p gi\u00e1m s\u00e1t m\u00f4 h\u00ecnh c\u1ee7a OneProxy<\/a><\/li>\n<\/ul>","protected":false},"featured_media":468931,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-478045","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Model Drift<\/mark>","faq_items":[{"question":"What is Model Drift?","answer":"<p>Model drift refers to the change in the statistical properties of the target variable, causing the predictive model's predictions to become less accurate as time passes. It can occur due to changes in the underlying data distribution, environmental shifts, or natural evolutions in underlying patterns.<\/p>"},{"question":"What are the types of Model Drift?","answer":"<p>Model drift can be classified into various types such as Covariate Drift, Concept Drift, Gradual Drift, Sudden Drift, Incremental Drift, and Seasonal Drift. Each type represents different ways the model's relationship with the input and output data can change over time.<\/p>"},{"question":"How does Model Drift work?","answer":"<p>Model drift occurs when there are changes in the data source, environmental conditions, model complexity, or natural progressions over time. It can impact the model's accuracy and reliability, requiring constant monitoring and possible updates to the model.<\/p>"},{"question":"What are the key features of Model Drift?","answer":"<p>The key features of model drift include its detectability, reversibility, severity, and speed. The impact and occurrence of drift can range widely, and its nature can be temporary or permanent.<\/p>"},{"question":"What are the solutions to Model Drift?","answer":"<p>Solutions to model drift include regular monitoring of model performance, employing specialized drift detection techniques, updating or retraining models as needed, and using ensemble methods that can adapt to changing data patterns.<\/p>"},{"question":"How can proxy servers like OneProxy be associated with Model Drift?","answer":"<p>Proxy servers like those provided by OneProxy can be vital in monitoring and detecting model drift. They ensure the continuous and consistent flow of data, allowing for real-time analysis and response to any drift, thereby maintaining the accuracy and effectiveness of prediction models.<\/p>"},{"question":"What are the future perspectives related to Model Drift?","answer":"<p>Future perspectives related to model drift include developing more robust and adaptable models, implementing real-time monitoring systems, and using automation and AI to handle drift. Continuous learning and adaptation are seen as key paths forward in managing this complex phenomenon.<\/p>"},{"question":"How does Model Drift differ from Data Drift and Model Bias?","answer":"<p>While model drift refers to changes affecting the model's performance, data drift is specifically about changes in the data distribution itself. Model bias, on the other hand, is a systematic error in predictions, not related to changes over time, unlike drift.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/478045","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/478045\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/468931"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=478045"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}