{"id":477558,"date":"2023-08-09T09:16:45","date_gmt":"2023-08-09T09:16:45","guid":{"rendered":""},"modified":"2023-09-05T11:14:58","modified_gmt":"2023-09-05T11:14:58","slug":"imbalanced-data","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/vn\/wiki\/imbalanced-data\/","title":{"rendered":"D\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng"},"content":{"rendered":"<p>D\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng \u0111\u1ec1 c\u1eadp \u0111\u1ebfn m\u1ed9t th\u00e1ch th\u1ee9c chung trong l\u0129nh v\u1ef1c ph\u00e2n t\u00edch d\u1eef li\u1ec7u v\u00e0 h\u1ecdc m\u00e1y, trong \u0111\u00f3 vi\u1ec7c ph\u00e2n b\u1ed5 c\u00e1c l\u1edbp trong t\u1eadp d\u1eef li\u1ec7u r\u1ea5t sai l\u1ec7ch. \u0110i\u1ec1u n\u00e0y c\u00f3 ngh\u0129a l\u00e0 m\u1ed9t t\u1ea7ng l\u1edbp (t\u1ea7ng l\u1edbp thi\u1ec3u s\u1ed1) c\u00f3 s\u1ed1 l\u01b0\u1ee3ng \u00edt h\u01a1n \u0111\u00e1ng k\u1ec3 so v\u1edbi t\u1ea7ng l\u1edbp kh\u00e1c (t\u1ea7ng l\u1edbp \u0111a s\u1ed1). V\u1ea5n \u0111\u1ec1 d\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng c\u00f3 th\u1ec3 t\u00e1c \u0111\u1ed9ng s\u00e2u s\u1eafc \u0111\u1ebfn hi\u1ec7u su\u1ea5t v\u00e0 \u0111\u1ed9 ch\u00ednh x\u00e1c c\u1ee7a c\u00e1c \u1ee9ng d\u1ee5ng d\u1ef1a tr\u00ean d\u1eef li\u1ec7u kh\u00e1c nhau, bao g\u1ed3m c\u1ea3 c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y. Gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 n\u00e0y l\u00e0 r\u1ea5t quan tr\u1ecdng \u0111\u1ec3 c\u00f3 \u0111\u01b0\u1ee3c k\u1ebft qu\u1ea3 \u0111\u00e1ng tin c\u1eady v\u00e0 kh\u00e1ch quan.<\/p>\n<h2>L\u1ecbch s\u1eed ngu\u1ed3n g\u1ed1c c\u1ee7a d\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng v\u00e0 l\u1ea7n \u0111\u1ea7u ti\u00ean \u0111\u1ec1 c\u1eadp \u0111\u1ebfn n\u00f3<\/h2>\n<p>Kh\u00e1i ni\u1ec7m d\u1eef li\u1ec7u kh\u00f4ng c\u00e2n b\u1eb1ng \u0111\u00e3 \u0111\u01b0\u1ee3c c\u00f4ng nh\u1eadn l\u00e0 m\u1ed1i quan t\u00e2m trong nhi\u1ec1u l\u0129nh v\u1ef1c khoa h\u1ecdc kh\u00e1c nhau trong nhi\u1ec1u th\u1eadp k\u1ef7. Tuy nhi\u00ean, vi\u1ec7c gi\u1edbi thi\u1ec7u ch\u00ednh th\u1ee9c c\u1ee7a n\u00f3 v\u00e0o c\u1ed9ng \u0111\u1ed3ng h\u1ecdc m\u00e1y c\u00f3 th\u1ec3 b\u1eaft ngu\u1ed3n t\u1eeb nh\u1eefng n\u0103m 1990. C\u00e1c t\u00e0i li\u1ec7u nghi\u00ean c\u1ee9u th\u1ea3o lu\u1eadn v\u1ec1 v\u1ea5n \u0111\u1ec1 n\u00e0y b\u1eaft \u0111\u1ea7u xu\u1ea5t hi\u1ec7n, n\u00eau b\u1eadt nh\u1eefng th\u00e1ch th\u1ee9c m\u00e0 n\u00f3 \u0111\u1eb7t ra \u0111\u1ed1i v\u1edbi c\u00e1c thu\u1eadt to\u00e1n h\u1ecdc t\u1eadp truy\u1ec1n th\u1ed1ng v\u00e0 nhu c\u1ea7u v\u1ec1 c\u00e1c k\u1ef9 thu\u1eadt chuy\u00ean bi\u1ec7t \u0111\u1ec3 gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 n\u00e0y m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3.<\/p>\n<h2>Th\u00f4ng tin chi ti\u1ebft v\u1ec1 d\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng: M\u1edf r\u1ed9ng ch\u1ee7 \u0111\u1ec1<\/h2>\n<p>D\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng ph\u00e1t sinh trong nhi\u1ec1u t\u00ecnh hu\u1ed1ng th\u1ef1c t\u1ebf, ch\u1eb3ng h\u1ea1n nh\u01b0 ch\u1ea9n \u0111o\u00e1n y t\u1ebf, ph\u00e1t hi\u1ec7n gian l\u1eadn, ph\u00e1t hi\u1ec7n b\u1ea5t th\u01b0\u1eddng v\u00e0 d\u1ef1 \u0111o\u00e1n s\u1ef1 ki\u1ec7n hi\u1ebfm g\u1eb7p. Trong nh\u1eefng tr\u01b0\u1eddng h\u1ee3p n\u00e0y, s\u1ef1 ki\u1ec7n quan t\u00e2m th\u01b0\u1eddng hi\u1ebfm so v\u1edbi c\u00e1c tr\u01b0\u1eddng h\u1ee3p kh\u00f4ng c\u00f3 s\u1ef1 ki\u1ec7n, d\u1eabn \u0111\u1ebfn s\u1ef1 ph\u00e2n b\u1ed5 l\u1edbp kh\u00f4ng c\u00e2n b\u1eb1ng.<\/p>\n<p>C\u00e1c thu\u1eadt to\u00e1n h\u1ecdc m\u00e1y truy\u1ec1n th\u1ed1ng th\u01b0\u1eddng \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf v\u1edbi gi\u1ea3 \u0111\u1ecbnh r\u1eb1ng t\u1eadp d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c c\u00e2n b\u1eb1ng, \u0111\u1ed1i x\u1eed b\u00ecnh \u0111\u1eb3ng v\u1edbi t\u1ea5t c\u1ea3 c\u00e1c l\u1edbp. Khi \u00e1p d\u1ee5ng cho d\u1eef li\u1ec7u kh\u00f4ng c\u00e2n b\u1eb1ng, c\u00e1c thu\u1eadt to\u00e1n n\u00e0y c\u00f3 xu h\u01b0\u1edbng thi\u00ean v\u1ec1 l\u1edbp \u0111a s\u1ed1, d\u1eabn \u0111\u1ebfn hi\u1ec7u su\u1ea5t k\u00e9m trong vi\u1ec7c x\u00e1c \u0111\u1ecbnh c\u00e1c th\u1ec3 hi\u1ec7n c\u1ee7a l\u1edbp thi\u1ec3u s\u1ed1. L\u00fd do \u0111\u1eb1ng sau s\u1ef1 thi\u00ean v\u1ecb n\u00e0y l\u00e0 v\u00ec qu\u00e1 tr\u00ecnh h\u1ecdc t\u1eadp \u0111\u01b0\u1ee3c th\u00fac \u0111\u1ea9y b\u1edfi \u0111\u1ed9 ch\u00ednh x\u00e1c t\u1ed5ng th\u1ec3, \u0111i\u1ec1u n\u00e0y b\u1ecb \u1ea3nh h\u01b0\u1edfng n\u1eb7ng n\u1ec1 b\u1edfi l\u1edbp h\u1ecdc l\u1edbn h\u01a1n.<\/p>\n<h2>C\u1ea5u tr\u00fac b\u00ean trong c\u1ee7a d\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng: C\u00e1ch th\u1ee9c ho\u1ea1t \u0111\u1ed9ng<\/h2>\n<p>D\u1eef li\u1ec7u kh\u00f4ng c\u00e2n b\u1eb1ng c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c bi\u1ec3u di\u1ec5n nh\u01b0 sau:<\/p>\n<pre><div class=\"bg-black rounded-md mb-4\"><div class=\"flex items-center relative text-gray-200 bg-gray-800 px-4 py-2 text-xs font-sans justify-between rounded-t-md\"><span>lua<\/span><button class=\"flex ml-auto gap-2\"><svg stroke=\"currentColor\" fill=\"none\" stroke-width=\"2\" viewbox=\"0 0 24 24\" stroke-linecap=\"round\" stroke-linejoin=\"round\" class=\"h-4 w-4\" height=\"1em\" width=\"1em\" ><path d=\"M16 4h2a2 2 0 0 1 2 2v14a2 2 0 0 1-2 2H6a2 2 0 0 1-2-2V6a2 2 0 0 1 2-2h2\"><\/path><rect x=\"8\" y=\"2\" width=\"8\" height=\"4\" rx=\"1\" ry=\"1\"><\/rect><\/svg>Sao ch\u00e9p m\u00e3<\/button><\/div><div class=\"p-4 overflow-y-auto\"><code class=\"!whitespace-pre hljs language-lua\" data-no-translation=\"\">|<span class=\"hljs-comment\">----------------------- | ---------------|<\/span>\n|       Class           |   Instances  |\n|<span class=\"hljs-comment\">----------------------- | ---------------|<\/span>\n|   Majority Class      |      N        |\n|<span class=\"hljs-comment\">----------------------- | ---------------|<\/span>\n|   Minority Class      |      M        |\n|<span class=\"hljs-comment\">----------------------- | ---------------|<\/span>\n<\/code><\/div><\/div><\/pre>\n<p>Trong \u0111\u00f3 N \u0111\u1ea1i di\u1ec7n cho s\u1ed1 l\u01b0\u1ee3ng phi\u00ean b\u1ea3n trong l\u1edbp \u0111a s\u1ed1 v\u00e0 M \u0111\u1ea1i di\u1ec7n cho s\u1ed1 l\u01b0\u1ee3ng phi\u00ean b\u1ea3n trong l\u1edbp thi\u1ec3u s\u1ed1.<\/p>\n<h2>Ph\u00e2n t\u00edch c\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh c\u1ee7a d\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng<\/h2>\n<p>\u0110\u1ec3 hi\u1ec3u r\u00f5 h\u01a1n v\u1ec1 d\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng, \u0111i\u1ec1u c\u1ea7n thi\u1ebft l\u00e0 ph\u1ea3i ph\u00e2n t\u00edch m\u1ed9t s\u1ed1 t\u00ednh n\u0103ng ch\u00ednh:<\/p>\n<ol>\n<li>\n<p><strong>T\u1ef7 l\u1ec7 m\u1ea5t c\u00e2n b\u1eb1ng l\u1edbp<\/strong>: T\u1ef7 l\u1ec7 c\u00e1c c\u00e1 th\u1ec3 trong l\u1edbp \u0111a s\u1ed1 so v\u1edbi l\u1edbp thi\u1ec3u s\u1ed1. N\u00f3 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c bi\u1ec3u th\u1ecb b\u1eb1ng N\/M.<\/p>\n<\/li>\n<li>\n<p><strong>S\u1ef1 hi\u1ebfm c\u00f3 c\u1ee7a t\u1ea7ng l\u1edbp thi\u1ec3u s\u1ed1<\/strong>: S\u1ed1 l\u01b0\u1ee3ng phi\u00ean b\u1ea3n tuy\u1ec7t \u0111\u1ed1i trong l\u1edbp thi\u1ec3u s\u1ed1 so v\u1edbi t\u1ed5ng s\u1ed1 phi\u00ean b\u1ea3n trong t\u1eadp d\u1eef li\u1ec7u.<\/p>\n<\/li>\n<li>\n<p><strong>Ch\u1ed3ng ch\u00e9o d\u1eef li\u1ec7u<\/strong>: M\u1ee9c \u0111\u1ed9 tr\u00f9ng l\u1eb7p gi\u1eefa s\u1ef1 ph\u00e2n b\u1ed5 \u0111\u1eb7c \u0111i\u1ec3m c\u1ee7a c\u00e1c l\u1edbp thi\u1ec3u s\u1ed1 v\u00e0 \u0111a s\u1ed1. S\u1ef1 ch\u1ed3ng ch\u00e9o nhi\u1ec1u h\u01a1n c\u00f3 th\u1ec3 d\u1eabn \u0111\u1ebfn t\u0103ng kh\u00f3 kh\u0103n trong vi\u1ec7c ph\u00e2n lo\u1ea1i.<\/p>\n<\/li>\n<li>\n<p><strong>\u0110\u1ed9 nh\u1ea1y c\u1ea3m v\u1ec1 chi ph\u00ed<\/strong>: Kh\u00e1i ni\u1ec7m \u1ea5n \u0111\u1ecbnh c\u00e1c chi ph\u00ed ph\u00e2n lo\u1ea1i sai kh\u00e1c nhau cho c\u00e1c t\u1ea7ng l\u1edbp kh\u00e1c nhau, t\u1ea1o nhi\u1ec1u tr\u1ecdng s\u1ed1 h\u01a1n cho t\u1ea7ng l\u1edbp thi\u1ec3u s\u1ed1 \u0111\u1ec3 \u0111\u1ea1t \u0111\u01b0\u1ee3c s\u1ef1 ph\u00e2n lo\u1ea1i c\u00e2n b\u1eb1ng.<\/p>\n<\/li>\n<\/ol>\n<h2>C\u00e1c lo\u1ea1i d\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng<\/h2>\n<p>C\u00f3 nhi\u1ec1u lo\u1ea1i d\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng kh\u00e1c nhau d\u1ef1a tr\u00ean s\u1ed1 l\u01b0\u1ee3ng l\u1edbp v\u00e0 m\u1ee9c \u0111\u1ed9 m\u1ea5t c\u00e2n b\u1eb1ng c\u1ee7a l\u1edbp:<\/p>\n<h3>D\u1ef1a tr\u00ean s\u1ed1 l\u01b0\u1ee3ng l\u1edbp h\u1ecdc:<\/h3>\n<ol>\n<li>\n<p><strong>D\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng nh\u1ecb ph\u00e2n<\/strong>: M\u1ed9t t\u1eadp d\u1eef li\u1ec7u ch\u1ec9 c\u00f3 hai l\u1edbp, trong \u0111\u00f3 m\u1ed9t l\u1edbp \u0111\u00f4ng h\u01a1n \u0111\u00e1ng k\u1ec3 so v\u1edbi l\u1edbp kia.<\/p>\n<\/li>\n<li>\n<p><strong>D\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng \u0111a l\u1edbp<\/strong>: M\u1ed9t t\u1eadp d\u1eef li\u1ec7u c\u00f3 nhi\u1ec1u l\u1edbp, \u00edt nh\u1ea5t m\u1ed9t trong s\u1ed1 \u0111\u00f3 \u0111\u01b0\u1ee3c tr\u00ecnh b\u00e0y d\u01b0\u1edbi m\u1ee9c \u0111\u00e1ng k\u1ec3 so v\u1edbi c\u00e1c l\u1edbp kh\u00e1c.<\/p>\n<\/li>\n<\/ol>\n<h3>D\u1ef1a tr\u00ean m\u1ee9c \u0111\u1ed9 m\u1ea5t c\u00e2n b\u1eb1ng c\u1ee7a l\u1edbp:<\/h3>\n<ol>\n<li>\n<p><strong>M\u1ea5t c\u00e2n b\u1eb1ng v\u1eeba ph\u1ea3i<\/strong>: T\u1ef7 l\u1ec7 m\u1ea5t c\u00e2n b\u1eb1ng t\u01b0\u01a1ng \u0111\u1ed1i th\u1ea5p, th\u01b0\u1eddng l\u00e0 t\u1eeb 1:2 \u0111\u1ebfn 1:5.<\/p>\n<\/li>\n<li>\n<p><strong>M\u1ea5t c\u00e2n b\u1eb1ng nghi\u00eam tr\u1ecdng<\/strong>: T\u1ef7 l\u1ec7 m\u1ea5t c\u00e2n b\u1eb1ng r\u1ea5t cao, th\u01b0\u1eddng v\u01b0\u1ee3t qu\u00e1 1:10 tr\u1edf l\u00ean.<\/p>\n<\/li>\n<\/ol>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng d\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng, c\u00e1c v\u1ea5n \u0111\u1ec1 v\u00e0 gi\u1ea3i ph\u00e1p c\u1ee7a ch\u00fang<\/h2>\n<h3>S\u1ef1 c\u1ed1 v\u1edbi d\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng:<\/h3>\n<ol>\n<li>\n<p><strong>Ph\u00e2n lo\u1ea1i sai l\u1ec7ch<\/strong>: M\u00f4 h\u00ecnh c\u00f3 xu h\u01b0\u1edbng thi\u00ean v\u1ecb t\u1ea7ng l\u1edbp \u0111a s\u1ed1, d\u1eabn \u0111\u1ebfn th\u00e0nh t\u00edch k\u00e9m \u1edf t\u1ea7ng l\u1edbp thi\u1ec3u s\u1ed1.<\/p>\n<\/li>\n<li>\n<p><strong>Kh\u00f3 kh\u0103n trong h\u1ecdc t\u1eadp<\/strong>: C\u00e1c thu\u1eadt to\u00e1n truy\u1ec1n th\u1ed1ng g\u1eb7p kh\u00f3 kh\u0103n trong vi\u1ec7c h\u1ecdc c\u00e1c m\u1eabu t\u1eeb c\u00e1c phi\u00ean b\u1ea3n l\u1edbp hi\u1ebfm do t\u00ednh bi\u1ec3u di\u1ec5n h\u1ea1n ch\u1ebf c\u1ee7a ch\u00fang.<\/p>\n<\/li>\n<li>\n<p><strong>S\u1ed1 li\u1ec7u \u0111\u00e1nh gi\u00e1 sai l\u1ec7ch<\/strong>: \u0110\u1ed9 ch\u00ednh x\u00e1c c\u00f3 th\u1ec3 l\u00e0 m\u1ed9t th\u01b0\u1edbc \u0111o sai l\u1ec7ch v\u00ec m\u1ed9t m\u00f4 h\u00ecnh c\u00f3 th\u1ec3 \u0111\u1ea1t \u0111\u01b0\u1ee3c \u0111\u1ed9 ch\u00ednh x\u00e1c cao ch\u1ec9 b\u1eb1ng c\u00e1ch d\u1ef1 \u0111o\u00e1n nh\u00f3m \u0111a s\u1ed1.<\/p>\n<\/li>\n<\/ol>\n<h3>C\u00e1c gi\u1ea3i ph\u00e1p:<\/h3>\n<ol>\n<li>\n<p><strong>K\u1ef9 thu\u1eadt l\u1ea5y m\u1eabu l\u1ea1i<\/strong>: L\u1ea5y m\u1eabu d\u01b0\u1edbi l\u1edbp \u0111a s\u1ed1 ho\u1eb7c l\u1ea5y m\u1eabu qu\u00e1 m\u1ee9c l\u1edbp thi\u1ec3u s\u1ed1 c\u00f3 th\u1ec3 gi\u00fap c\u00e2n b\u1eb1ng t\u1eadp d\u1eef li\u1ec7u.<\/p>\n<\/li>\n<li>\n<p><strong>Ph\u01b0\u01a1ng ph\u00e1p ti\u1ebfp c\u1eadn thu\u1eadt to\u00e1n<\/strong>: C\u00e1c thu\u1eadt to\u00e1n c\u1ee5 th\u1ec3 \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 x\u1eed l\u00fd d\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng, ch\u1eb3ng h\u1ea1n nh\u01b0 R\u1eebng ng\u1eabu nhi\u00ean, SMOTE v\u00e0 ADASYN.<\/p>\n<\/li>\n<li>\n<p><strong>H\u1ecdc t\u1eadp nh\u1ea1y c\u1ea3m v\u1edbi chi ph\u00ed<\/strong>: S\u1eeda \u0111\u1ed5i qu\u00e1 tr\u00ecnh h\u1ecdc t\u1eadp \u0111\u1ec3 g\u00e1n c\u00e1c chi ph\u00ed ph\u00e2n lo\u1ea1i sai kh\u00e1c nhau cho c\u00e1c l\u1edbp kh\u00e1c nhau.<\/p>\n<\/li>\n<li>\n<p><strong>Ph\u01b0\u01a1ng ph\u00e1p t\u1eadp h\u1ee3p<\/strong>: Vi\u1ec7c k\u1ebft h\u1ee3p nhi\u1ec1u b\u1ed9 ph\u00e2n lo\u1ea1i c\u00f3 th\u1ec3 c\u1ea3i thi\u1ec7n hi\u1ec7u su\u1ea5t t\u1ed5ng th\u1ec3 tr\u00ean d\u1eef li\u1ec7u kh\u00f4ng c\u00e2n b\u1eb1ng.<\/p>\n<\/li>\n<\/ol>\n<h2>C\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh v\u00e0 so s\u00e1nh v\u1edbi c\u00e1c thu\u1eadt ng\u1eef t\u01b0\u01a1ng t\u1ef1<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u0111\u1eb7c tr\u01b0ng<\/th>\n<th>D\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng<\/th>\n<th>D\u1eef li\u1ec7u c\u00e2n b\u1eb1ng<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Ph\u00e2n ph\u1ed1i l\u1edbp<\/td>\n<td>l\u1ec7ch<\/td>\n<td>\u0110\u1ed3ng ph\u1ee5c<\/td>\n<\/tr>\n<tr>\n<td>Th\u1eed th\u00e1ch<\/td>\n<td>Thi\u00ean v\u1ecb \u0111\u1ed1i v\u1edbi giai c\u1ea5p \u0111a s\u1ed1<\/td>\n<td>\u0110\u1ed1i x\u1eed b\u00ecnh \u0111\u1eb3ng v\u1edbi m\u1ecdi t\u1ea7ng l\u1edbp<\/td>\n<\/tr>\n<tr>\n<td>Gi\u1ea3i ph\u00e1p chung<\/td>\n<td>L\u1ea5y m\u1eabu l\u1ea1i, \u0111i\u1ec1u ch\u1ec9nh thu\u1eadt to\u00e1n<\/td>\n<td>Thu\u1eadt to\u00e1n h\u1ecdc t\u1eadp ti\u00eau chu\u1ea9n<\/td>\n<\/tr>\n<tr>\n<td>S\u1ed1 li\u1ec7u hi\u1ec7u su\u1ea5t<\/td>\n<td>\u0110\u1ed9 ch\u00ednh x\u00e1c, Thu h\u1ed3i, \u0110i\u1ec3m F1<\/td>\n<td>\u0110\u1ed9 ch\u00ednh x\u00e1c, \u0111\u1ed9 ch\u00ednh x\u00e1c, thu h\u1ed3i<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Quan \u0111i\u1ec3m v\u00e0 c\u00f4ng ngh\u1ec7 c\u1ee7a t\u01b0\u01a1ng lai li\u00ean quan \u0111\u1ebfn d\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng<\/h2>\n<p>Khi nghi\u00ean c\u1ee9u v\u1ec1 h\u1ecdc m\u00e1y ti\u1ebfn tri\u1ec3n, c\u00e1c k\u1ef9 thu\u1eadt v\u00e0 thu\u1eadt to\u00e1n ti\u00ean ti\u1ebfn h\u01a1n c\u00f3 th\u1ec3 s\u1ebd xu\u1ea5t hi\u1ec7n \u0111\u1ec3 gi\u1ea3i quy\u1ebft nh\u1eefng th\u00e1ch th\u1ee9c v\u1ec1 d\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng. C\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u \u0111ang li\u00ean t\u1ee5c kh\u00e1m ph\u00e1 c\u00e1c ph\u01b0\u01a1ng ph\u00e1p ti\u1ebfp c\u1eadn m\u1edbi \u0111\u1ec3 n\u00e2ng cao hi\u1ec7u su\u1ea5t c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh tr\u00ean c\u00e1c b\u1ed9 d\u1eef li\u1ec7u kh\u00f4ng c\u00e2n b\u1eb1ng, khi\u1ebfn ch\u00fang th\u00edch \u1ee9ng h\u01a1n v\u1edbi c\u00e1c t\u00ecnh hu\u1ed1ng trong th\u1ebf gi\u1edbi th\u1ef1c.<\/p>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng ho\u1eb7c li\u00ean k\u1ebft m\u00e1y ch\u1ee7 proxy v\u1edbi d\u1eef li\u1ec7u kh\u00f4ng c\u00e2n b\u1eb1ng<\/h2>\n<p>M\u00e1y ch\u1ee7 proxy \u0111\u00f3ng m\u1ed9t vai tr\u00f2 quan tr\u1ecdng trong c\u00e1c \u1ee9ng d\u1ee5ng s\u1eed d\u1ee5ng nhi\u1ec1u d\u1eef li\u1ec7u kh\u00e1c nhau, bao g\u1ed3m thu th\u1eadp d\u1eef li\u1ec7u, qu\u00e9t web v\u00e0 \u1ea9n danh. M\u1eb7c d\u00f9 kh\u00f4ng li\u00ean quan tr\u1ef1c ti\u1ebfp \u0111\u1ebfn kh\u00e1i ni\u1ec7m d\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng, nh\u01b0ng m\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 x\u1eed l\u00fd c\u00e1c t\u00e1c v\u1ee5 thu th\u1eadp d\u1eef li\u1ec7u quy m\u00f4 l\u1edbn, c\u00f3 th\u1ec3 li\u00ean quan \u0111\u1ebfn c\u00e1c b\u1ed9 d\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng. B\u1eb1ng c\u00e1ch lu\u00e2n chuy\u1ec3n \u0111\u1ecba ch\u1ec9 IP v\u00e0 qu\u1ea3n l\u00fd l\u01b0u l\u01b0\u1ee3ng, m\u00e1y ch\u1ee7 proxy gi\u00fap ng\u0103n ch\u1eb7n c\u00e1c l\u1ec7nh c\u1ea5m IP v\u00e0 \u0111\u1ea3m b\u1ea3o vi\u1ec7c tr\u00edch xu\u1ea5t d\u1eef li\u1ec7u m\u01b0\u1ee3t m\u00e0 h\u01a1n t\u1eeb c\u00e1c trang web ho\u1eb7c API.<\/p>\n<h2>Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n<p>\u0110\u1ec3 bi\u1ebft th\u00eam th\u00f4ng tin v\u1ec1 d\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng v\u00e0 k\u1ef9 thu\u1eadt gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 \u0111\u00f3, b\u1ea1n c\u00f3 th\u1ec3 kh\u00e1m ph\u00e1 c\u00e1c t\u00e0i nguy\u00ean sau:<\/p>\n<ol>\n<li><a href=\"https:\/\/towardsdatascience.com\/dealing-with-imbalanced-data-in-machine-learning-7c4a692eda42\" target=\"_new\" rel=\"noopener nofollow\">H\u01b0\u1edbng t\u1edbi khoa h\u1ecdc d\u1eef li\u1ec7u - X\u1eed l\u00fd d\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng trong h\u1ecdc m\u00e1y<\/a><\/li>\n<li><a href=\"https:\/\/scikit-learn.org\/stable\/auto_examples\/applications\/plot_tomography_reconstruction.html\" target=\"_new\" rel=\"noopener nofollow\">T\u00e0i li\u1ec7u Scikit-learn \u2013 X\u1eed l\u00fd d\u1eef li\u1ec7u m\u1ea5t c\u00e2n b\u1eb1ng<\/a><\/li>\n<li><a href=\"https:\/\/machinelearningmastery.com\/tactics-to-combat-imbalanced-classes-in-your-machine-learning-dataset\/\" target=\"_new\" rel=\"noopener nofollow\">L\u00e0m ch\u1ee7 h\u1ecdc m\u00e1y \u2013 Chi\u1ebfn thu\u1eadt \u0111\u1ec3 ch\u1ed1ng l\u1ea1i c\u00e1c l\u1edbp m\u1ea5t c\u00e2n b\u1eb1ng trong b\u1ed9 d\u1eef li\u1ec7u h\u1ecdc m\u00e1y c\u1ee7a b\u1ea1n<\/a><\/li>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/5128907\" target=\"_new\" rel=\"noopener nofollow\">C\u00e1c giao d\u1ecbch c\u1ee7a IEEE v\u1ec1 K\u1ef9 thu\u1eadt Tri th\u1ee9c v\u00e0 D\u1eef li\u1ec7u - H\u1ecdc t\u1eeb D\u1eef li\u1ec7u Kh\u00f4ng c\u00e2n b\u1eb1ng<\/a><\/li>\n<\/ol>","protected":false},"featured_media":468603,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477558","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Imbalanced Data: A Comprehensive Guide<\/mark>","faq_items":[{"question":"Question: What is imbalanced data?","answer":"<p>Answer: Imbalanced data refers to a situation where the distribution of classes within a dataset is highly skewed, with one class (the minority class) being significantly underrepresented compared to another (the majority class). This can pose challenges in various data-driven applications, including machine learning, leading to biased classification and lower performance on the minority class.<\/p>"},{"question":"Question: How did the issue of imbalanced data originate?","answer":"<p>Answer: The concept of imbalanced data has been recognized as a concern in various fields for years. However, its formal introduction into the machine learning community can be traced back to the 1990s when research papers began highlighting the challenges it posed to traditional learning algorithms.<\/p>"},{"question":"Question: What are the key features of imbalanced data?","answer":"<p>Answer: Key features of imbalanced data include the class imbalance ratio, the rareness of the minority class, the degree of data overlap between classes, and cost sensitivity. These features influence the learning process and the performance of machine learning models.<\/p>"},{"question":"Question: What are the types of imbalanced data?","answer":"<p>Answer: Imbalanced data can be categorized based on the number of classes and the degree of class imbalance. Based on the number of classes, it can be binary (two classes) or multiclass (multiple classes). Based on the degree of class imbalance, it can be moderate or severe.<\/p>"},{"question":"Question: What are the problems with imbalanced data, and how can they be solved?","answer":"<p>Answer: The problems with imbalanced data include biased classification, difficulty in learning patterns from rare classes, and misleading evaluation metrics. To address these issues, various solutions can be employed, such as resampling techniques, algorithmic approaches, and cost-sensitive learning.<\/p>"},{"question":"Question: How can proxy servers be associated with imbalanced data?","answer":"<p>Answer: While not directly related to imbalanced data, proxy servers play a crucial role in data-intensive applications, including data collection and web scraping. They can be used to handle large-scale data collection tasks, which may involve imbalanced datasets, by rotating IP addresses and managing traffic to prevent IP bans and ensure smoother data extraction.<\/p>"},{"question":"Question: What are the future perspectives and technologies related to imbalanced data?","answer":"<p>Answer: As machine learning research progresses, more advanced techniques and algorithms are likely to emerge to address the challenges of imbalanced data. Researchers are continuously exploring novel approaches to enhance model performance on imbalanced datasets and make them more adaptable to real-world scenarios.<\/p>"},{"question":"Question: Where can I find more information about imbalanced data?","answer":"<p>Answer: For more in-depth information and resources about imbalanced data and techniques to address it, you can explore the provided links in the article, which include helpful articles, documentation, and research papers.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/477558","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\/477558\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/468603"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=477558"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}