{"id":477172,"date":"2023-08-09T09:08:44","date_gmt":"2023-08-09T09:08:44","guid":{"rendered":""},"modified":"2023-09-05T11:14:13","modified_gmt":"2023-09-05T11:14:13","slug":"f1-score","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/vn\/wiki\/f1-score\/","title":{"rendered":"\u0110i\u1ec3m F1"},"content":{"rendered":"<p>\u0110i\u1ec3m F1 l\u00e0 m\u1ed9t c\u00f4ng c\u1ee5 m\u1ea1nh m\u1ebd trong th\u1ebf gi\u1edbi ph\u00e2n t\u00edch d\u1ef1 \u0111o\u00e1n v\u00e0 h\u1ecdc m\u00e1y. N\u00f3 cung c\u1ea5p c\u00e1i nh\u00ecn s\u00e2u s\u1eafc v\u1ec1 gi\u00e1 tr\u1ecb trung b\u00ecnh h\u00e0i h\u00f2a c\u1ee7a \u0111\u1ed9 ch\u00ednh x\u00e1c v\u00e0 kh\u1ea3 n\u0103ng thu h\u1ed3i, hai kh\u00eda c\u1ea1nh quan tr\u1ecdng nh\u1ea5n m\u1ea1nh ch\u1ea5t l\u01b0\u1ee3ng c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh d\u1ef1 \u0111o\u00e1n.<\/p>\n<h2>Truy t\u00ecm c\u1ed9i ngu\u1ed3n: Ngu\u1ed3n g\u1ed1c v\u00e0 \u1ee9ng d\u1ee5ng ban \u0111\u1ea7u c\u1ee7a \u0110i\u1ec3m F1<\/h2>\n<p>Thu\u1eadt ng\u1eef \u0110i\u1ec3m F1 xu\u1ea5t hi\u1ec7n trong cu\u1ed9c th\u1ea3o lu\u1eadn v\u1ec1 Truy xu\u1ea5t th\u00f4ng tin (IR) v\u00e0o cu\u1ed1i th\u1ebf k\u1ef7 20, v\u1edbi l\u1ea7n \u0111\u1ec1 c\u1eadp quan tr\u1ecdng \u0111\u1ea7u ti\u00ean v\u1ec1 n\u00f3 b\u1eaft ngu\u1ed3n t\u1eeb n\u0103m 1979 trong m\u1ed9t b\u00e0i b\u00e1o c\u1ee7a van Rijsbergen. B\u00e0i vi\u1ebft n\u00e0y c\u00f3 ti\u00eau \u0111\u1ec1 \u201cTruy xu\u1ea5t th\u00f4ng tin\u201d \u0111\u00e3 gi\u1edbi thi\u1ec7u kh\u00e1i ni\u1ec7m v\u1ec1 th\u01b0\u1edbc \u0111o F, th\u01b0\u1edbc \u0111o n\u00e0y sau n\u00e0y ph\u00e1t tri\u1ec3n th\u00e0nh \u0110i\u1ec3m F1. Ban \u0111\u1ea7u n\u00f3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 \u0111\u00e1nh gi\u00e1 t\u00ednh hi\u1ec7u qu\u1ea3 c\u1ee7a c\u00e1c c\u00f4ng c\u1ee5 t\u00ecm ki\u1ebfm v\u00e0 h\u1ec7 th\u1ed1ng truy xu\u1ea5t th\u00f4ng tin, sau \u0111\u00f3 ph\u1ea1m vi c\u1ee7a n\u00f3 \u0111\u00e3 m\u1edf r\u1ed9ng sang nhi\u1ec1u l\u0129nh v\u1ef1c kh\u00e1c nhau, \u0111\u1eb7c bi\u1ec7t bao g\u1ed3m c\u1ea3 h\u1ecdc m\u00e1y v\u00e0 khai th\u00e1c d\u1eef li\u1ec7u.<\/p>\n<h2>Kh\u00e1m ph\u00e1 \u0110i\u1ec3m F1: T\u00ecm hi\u1ec3u s\u00e2u h\u01a1n<\/h2>\n<p>\u0110i\u1ec3m F1, c\u00f2n \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 \u0111i\u1ec3m F ho\u1eb7c \u0111i\u1ec3m F-beta, l\u00e0 th\u01b0\u1edbc \u0111o \u0111\u1ed9 ch\u00ednh x\u00e1c c\u1ee7a m\u00f4 h\u00ecnh tr\u00ean t\u1eadp d\u1eef li\u1ec7u. N\u00f3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 \u0111\u00e1nh gi\u00e1 c\u00e1c h\u1ec7 th\u1ed1ng ph\u00e2n lo\u1ea1i nh\u1ecb ph\u00e2n, ph\u00e2n lo\u1ea1i c\u00e1c v\u00ed d\u1ee5 th\u00e0nh &#039;t\u00edch c\u1ef1c&#039; ho\u1eb7c &#039;ti\u00eau c\u1ef1c&#039;.<\/p>\n<p>\u0110i\u1ec3m F1 \u0111\u01b0\u1ee3c \u0111\u1ecbnh ngh\u0129a l\u00e0 gi\u00e1 tr\u1ecb trung b\u00ecnh h\u00e0i h\u00f2a c\u1ee7a \u0111\u1ed9 ch\u00ednh x\u00e1c c\u1ee7a m\u00f4 h\u00ecnh (t\u1ef7 l\u1ec7 d\u1ef1 \u0111o\u00e1n t\u00edch c\u1ef1c th\u1ef1c s\u1ef1 tr\u00ean t\u1ed5ng s\u1ed1 d\u1ef1 \u0111o\u00e1n t\u00edch c\u1ef1c) v\u00e0 thu h\u1ed3i (t\u1ef7 l\u1ec7 d\u1ef1 \u0111o\u00e1n t\u00edch c\u1ef1c th\u1ef1c s\u1ef1 tr\u00ean t\u1ed5ng s\u1ed1 d\u1ef1 \u0111o\u00e1n t\u00edch c\u1ef1c th\u1ef1c t\u1ebf). N\u00f3 \u0111\u1ea1t gi\u00e1 tr\u1ecb t\u1ed1t nh\u1ea5t \u1edf m\u1ee9c 1 (\u0111\u1ed9 ch\u00ednh x\u00e1c v\u00e0 thu h\u1ed3i ho\u00e0n h\u1ea3o) v\u00e0 t\u1ec7 nh\u1ea5t l\u00e0 0.<\/p>\n<p>C\u00f4ng th\u1ee9c t\u00ednh \u0110i\u1ec3m F1 nh\u01b0 sau:<\/p>\n<p>\u0110i\u1ec3m F1 = 2 * (\u0110\u1ed9 ch\u00ednh x\u00e1c * Thu h\u1ed3i) \/ (\u0110\u1ed9 ch\u00ednh x\u00e1c + Thu h\u1ed3i)<\/p>\n<h2>B\u00ean trong \u0110i\u1ec3m F1: T\u00ecm hi\u1ec3u C\u01a1 ch\u1ebf<\/h2>\n<p>\u0110i\u1ec3m F1 v\u1ec1 c\u01a1 b\u1ea3n l\u00e0 m\u1ed9t ch\u1ee9c n\u0103ng c\u1ee7a \u0111\u1ed9 ch\u00ednh x\u00e1c v\u00e0 thu h\u1ed3i. V\u00ec \u0110i\u1ec3m F1 l\u00e0 gi\u00e1 tr\u1ecb trung b\u00ecnh h\u00e0i h\u00f2a c\u1ee7a hai gi\u00e1 tr\u1ecb n\u00e0y n\u00ean n\u00f3 \u0111\u01b0a ra th\u01b0\u1edbc \u0111o c\u00e2n b\u1eb1ng cho c\u00e1c tham s\u1ed1 n\u00e0y.<\/p>\n<p>Kh\u00eda c\u1ea1nh quan tr\u1ecdng trong ho\u1ea1t \u0111\u1ed9ng c\u1ee7a \u0110i\u1ec3m F1 l\u00e0 \u0111\u1ed9 nh\u1ea1y c\u1ee7a n\u00f3 \u0111\u1ed1i v\u1edbi s\u1ed1 l\u01b0\u1ee3ng k\u1ebft qu\u1ea3 d\u01b0\u01a1ng t\u00ednh gi\u1ea3 v\u00e0 \u00e2m t\u00ednh gi\u1ea3. N\u1ebfu m\u1ed9t trong hai y\u1ebfu t\u1ed1 n\u00e0y cao, \u0111i\u1ec3m F1 s\u1ebd gi\u1ea3m, ph\u1ea3n \u00e1nh s\u1ef1 thi\u1ebfu hi\u1ec7u qu\u1ea3 c\u1ee7a m\u00f4 h\u00ecnh. Ng\u01b0\u1ee3c l\u1ea1i, \u0110i\u1ec3m F1 g\u1ea7n b\u1eb1ng 1 cho bi\u1ebft m\u00f4 h\u00ecnh c\u00f3 t\u1ef7 l\u1ec7 d\u01b0\u01a1ng v\u00e0 \u00e2m sai th\u1ea5p, \u0111\u00e1nh d\u1ea5u m\u00f4 h\u00ecnh l\u00e0 hi\u1ec7u qu\u1ea3.<\/p>\n<h2>C\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh c\u1ee7a \u0110i\u1ec3m F1<\/h2>\n<ol>\n<li><strong>C\u00e1c ch\u1ec9 s\u1ed1 c\u00e2n b\u1eb1ng:<\/strong> N\u00f3 xem x\u00e9t c\u1ea3 k\u1ebft qu\u1ea3 d\u01b0\u01a1ng t\u00ednh gi\u1ea3 v\u00e0 \u00e2m t\u00ednh gi\u1ea3, do \u0111\u00f3 c\u00e2n b\u1eb1ng s\u1ef1 \u0111\u00e1nh \u0111\u1ed5i gi\u1eefa \u0110\u1ed9 ch\u00ednh x\u00e1c v\u00e0 Thu h\u1ed3i.<\/li>\n<li><strong>\u00dd ngh\u0129a h\u00e0i h\u00f2a:<\/strong> Kh\u00f4ng gi\u1ed1ng nh\u01b0 trung b\u00ecnh s\u1ed1 h\u1ecdc, trung b\u00ecnh \u0111i\u1ec1u h\u00f2a c\u00f3 xu h\u01b0\u1edbng h\u01b0\u1edbng t\u1edbi gi\u00e1 tr\u1ecb th\u1ea5p h\u01a1n c\u1ee7a hai ph\u1ea7n t\u1eed. \u0110i\u1ec1u n\u00e0y c\u00f3 ngh\u0129a l\u00e0 n\u1ebfu \u0110\u1ed9 ch\u00ednh x\u00e1c ho\u1eb7c Thu h\u1ed3i th\u1ea5p th\u00ec \u0110i\u1ec3m F1 c\u0169ng gi\u1ea3m.<\/li>\n<li><strong>Ph\u00e2n lo\u1ea1i nh\u1ecb ph\u00e2n:<\/strong> N\u00f3 ph\u00f9 h\u1ee3p nh\u1ea5t cho c\u00e1c v\u1ea5n \u0111\u1ec1 ph\u00e2n lo\u1ea1i nh\u1ecb ph\u00e2n.<\/li>\n<\/ol>\n<h2>C\u00e1c lo\u1ea1i \u0111i\u1ec3m F1: C\u00e1c bi\u1ebfn th\u1ec3 v\u00e0 s\u1ef1 th\u00edch \u1ee9ng<\/h2>\n<p>V\u1ec1 c\u01a1 b\u1ea3n, \u0110i\u1ec3m F1 \u0111\u01b0\u1ee3c ph\u00e2n th\u00e0nh hai lo\u1ea1i sau:<\/p>\n<table>\n<thead>\n<tr>\n<th style=\"text-align: center;\"><strong>Ki\u1ec3u<\/strong><\/th>\n<th style=\"text-align: center;\"><strong>S\u1ef1 mi\u00eau t\u1ea3<\/strong><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"text-align: center;\">Macro-F1<\/td>\n<td style=\"text-align: center;\">N\u00f3 t\u00ednh \u0111i\u1ec3m F1 ri\u00eang cho t\u1eebng l\u1edbp r\u1ed3i l\u1ea5y \u0111i\u1ec3m trung b\u00ecnh. N\u00f3 kh\u00f4ng xem x\u00e9t s\u1ef1 m\u1ea5t c\u00e2n b\u1eb1ng l\u1edbp h\u1ecdc.<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">Micro-F1<\/td>\n<td style=\"text-align: center;\">N\u00f3 t\u1ed5ng h\u1ee3p s\u1ef1 \u0111\u00f3ng g\u00f3p c\u1ee7a t\u1ea5t c\u1ea3 c\u00e1c l\u1edbp \u0111\u1ec3 t\u00ednh m\u1ee9c trung b\u00ecnh. \u0110\u00f3 l\u00e0 m\u1ed9t th\u01b0\u1edbc \u0111o t\u1ed1t h\u01a1n khi x\u1eed l\u00fd s\u1ef1 m\u1ea5t c\u00e2n b\u1eb1ng gi\u1eefa c\u00e1c l\u1edbp.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng th\u1ef1c t\u1ebf, th\u00e1ch th\u1ee9c v\u00e0 gi\u1ea3i ph\u00e1p c\u1ee7a \u0111i\u1ec3m F1<\/h2>\n<p>M\u1eb7c d\u00f9 \u0110i\u1ec3m F1 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng r\u1ed9ng r\u00e3i trong h\u1ecdc m\u00e1y v\u00e0 khai th\u00e1c d\u1eef li\u1ec7u \u0111\u1ec3 \u0111\u00e1nh gi\u00e1 m\u00f4 h\u00ecnh nh\u01b0ng n\u00f3 \u0111\u1eb7t ra m\u1ed9t s\u1ed1 th\u00e1ch th\u1ee9c. M\u1ed9t th\u00e1ch th\u1ee9c nh\u01b0 v\u1eady l\u00e0 gi\u1ea3i quy\u1ebft c\u00e1c l\u1edbp h\u1ecdc m\u1ea5t c\u00e2n b\u1eb1ng. \u0110i\u1ec3m Micro-F1 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng nh\u01b0 m\u1ed9t gi\u1ea3i ph\u00e1p cho v\u1ea5n \u0111\u1ec1 n\u00e0y.<\/p>\n<p>\u0110i\u1ec3m F1 c\u00f3 th\u1ec3 kh\u00f4ng ph\u1ea3i l\u00fac n\u00e0o c\u0169ng l\u00e0 th\u01b0\u1edbc \u0111o l\u00fd t\u01b0\u1edfng. V\u00ed d\u1ee5: trong m\u1ed9t s\u1ed1 tr\u01b0\u1eddng h\u1ee3p, k\u1ebft qu\u1ea3 d\u01b0\u01a1ng t\u00ednh gi\u1ea3 v\u00e0 \u00e2m t\u00ednh gi\u1ea3 c\u00f3 th\u1ec3 c\u00f3 t\u00e1c \u0111\u1ed9ng kh\u00e1c nhau v\u00e0 vi\u1ec7c t\u1ed1i \u01b0u h\u00f3a \u0110i\u1ec3m F1 c\u00f3 th\u1ec3 kh\u00f4ng d\u1eabn \u0111\u1ebfn m\u00f4 h\u00ecnh t\u1ed1t nh\u1ea5t.<\/p>\n<h2>So s\u00e1nh v\u00e0 \u0111\u1eb7c \u0111i\u1ec3m<\/h2>\n<p>So s\u00e1nh \u0110i\u1ec3m F1 v\u1edbi c\u00e1c ch\u1ec9 s\u1ed1 \u0111\u00e1nh gi\u00e1 kh\u00e1c:<\/p>\n<table>\n<thead>\n<tr>\n<th style=\"text-align: center;\"><strong>H\u1ec7 m\u00e9t<\/strong><\/th>\n<th style=\"text-align: center;\"><strong>S\u1ef1 mi\u00eau t\u1ea3<\/strong><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"text-align: center;\">S\u1ef1 ch\u00ednh x\u00e1c<\/td>\n<td style=\"text-align: center;\">\u0110\u00e2y l\u00e0 t\u1ef7 l\u1ec7 d\u1ef1 \u0111o\u00e1n \u0111\u00fang tr\u00ean t\u1ed5ng s\u1ed1 d\u1ef1 \u0111o\u00e1n. Tuy nhi\u00ean, n\u00f3 c\u00f3 th\u1ec3 g\u00e2y hi\u1ec3u nh\u1ea7m khi c\u00f3 s\u1ef1 m\u1ea5t c\u00e2n b\u1eb1ng gi\u1eefa c\u00e1c giai c\u1ea5p.<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">\u0110\u1ed9 ch\u00ednh x\u00e1c<\/td>\n<td style=\"text-align: center;\">\u0110\u1ed9 ch\u00ednh x\u00e1c t\u1eadp trung v\u00e0o m\u1ee9c \u0111\u1ed9 ph\u00f9 h\u1ee3p c\u1ee7a k\u1ebft qu\u1ea3 b\u1eb1ng c\u00e1ch \u0111o l\u01b0\u1eddng s\u1ed1 l\u01b0\u1ee3ng k\u1ebft qu\u1ea3 d\u01b0\u01a1ng t\u00ednh th\u1ef1c s\u1ef1 tr\u00ean t\u1ed5ng s\u1ed1 k\u1ebft qu\u1ea3 d\u01b0\u01a1ng t\u00ednh \u0111\u01b0\u1ee3c d\u1ef1 \u0111o\u00e1n.<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">Nh\u1edb l\u1ea1i<\/td>\n<td style=\"text-align: center;\">Vi\u1ec7c thu h\u1ed3i \u0111o l\u01b0\u1eddng s\u1ed1 l\u01b0\u1ee3ng m\u1eb7t t\u00edch c\u1ef1c th\u1ef1c t\u1ebf m\u00e0 m\u00f4 h\u00ecnh c\u1ee7a ch\u00fang t\u00f4i n\u1eafm b\u1eaft \u0111\u01b0\u1ee3c th\u00f4ng qua vi\u1ec7c g\u1eafn nh\u00e3n n\u00f3 l\u00e0 t\u00edch c\u1ef1c (m\u1eb7t t\u00edch c\u1ef1c th\u1ef1c s\u1ef1).<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Vi\u1ec5n c\u1ea3nh v\u00e0 c\u00f4ng ngh\u1ec7 trong t\u01b0\u01a1ng lai: \u0110i\u1ec3m F1<\/h2>\n<p>Khi h\u1ecdc m\u00e1y v\u00e0 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o ph\u00e1t tri\u1ec3n, \u0110i\u1ec3m F1 d\u1ef1 ki\u1ebfn s\u1ebd ti\u1ebfp t\u1ee5c \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng nh\u01b0 m\u1ed9t th\u01b0\u1edbc \u0111o \u0111\u00e1nh gi\u00e1 c\u00f3 gi\u00e1 tr\u1ecb. N\u00f3 s\u1ebd \u0111\u00f3ng m\u1ed9t vai tr\u00f2 quan tr\u1ecdng trong c\u00e1c l\u0129nh v\u1ef1c nh\u01b0 ph\u00e2n t\u00edch th\u1eddi gian th\u1ef1c, d\u1eef li\u1ec7u l\u1edbn, an ninh m\u1ea1ng, v.v.<\/p>\n<p>C\u00e1c thu\u1eadt to\u00e1n m\u1edbi h\u01a1n c\u00f3 th\u1ec3 ph\u00e1t tri\u1ec3n \u0111\u1ec3 k\u1ebft h\u1ee3p \u0110i\u1ec3m F1 theo c\u00e1ch kh\u00e1c ho\u1eb7c c\u1ea3i thi\u1ec7n d\u1ef1a tr\u00ean n\u1ec1n t\u1ea3ng c\u1ee7a n\u00f3 \u0111\u1ec3 t\u1ea1o ra s\u1ed1 li\u1ec7u c\u00e2n b\u1eb1ng v\u00e0 m\u1ea1nh m\u1ebd h\u01a1n, \u0111\u1eb7c bi\u1ec7t l\u00e0 v\u1ec1 m\u1eb7t x\u1eed l\u00fd s\u1ef1 m\u1ea5t c\u00e2n b\u1eb1ng gi\u1eefa c\u00e1c l\u1edbp v\u00e0 c\u00e1c t\u00ecnh hu\u1ed1ng nhi\u1ec1u l\u1edbp.<\/p>\n<h2>M\u00e1y ch\u1ee7 proxy v\u00e0 \u0110i\u1ec3m F1: M\u1ed9t s\u1ef1 k\u1ebft h\u1ee3p \u0111\u1ed9c \u0111\u00e1o<\/h2>\n<p>M\u1eb7c d\u00f9 m\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 kh\u00f4ng tr\u1ef1c ti\u1ebfp s\u1eed d\u1ee5ng \u0110i\u1ec3m F1 nh\u01b0ng ch\u00fang \u0111\u00f3ng m\u1ed9t vai tr\u00f2 quan tr\u1ecdng trong b\u1ed1i c\u1ea3nh r\u1ed9ng h\u01a1n. C\u00e1c m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y, bao g\u1ed3m c\u1ea3 nh\u1eefng m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c \u0111\u00e1nh gi\u00e1 b\u1eb1ng \u0110i\u1ec3m F1, th\u01b0\u1eddng y\u00eau c\u1ea7u d\u1eef li\u1ec7u quan tr\u1ecdng \u0111\u1ec3 \u0111\u00e0o t\u1ea1o v\u00e0 ki\u1ec3m tra. M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 t\u1ea1o \u0111i\u1ec1u ki\u1ec7n thu\u1eadn l\u1ee3i cho vi\u1ec7c thu th\u1eadp d\u1eef li\u1ec7u t\u1eeb nhi\u1ec1u ngu\u1ed3n kh\u00e1c nhau, \u0111\u1ed3ng th\u1eddi duy tr\u00ec t\u00ednh \u1ea9n danh v\u00e0 b\u1ecf qua c\u00e1c h\u1ea1n ch\u1ebf v\u1ec1 \u0111\u1ecba l\u00fd.<\/p>\n<p>H\u01a1n n\u1eefa, trong l\u0129nh v\u1ef1c an ninh m\u1ea1ng, c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y \u0111\u01b0\u1ee3c \u0111\u00e1nh gi\u00e1 b\u1eb1ng \u0110i\u1ec3m F1 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng c\u00f9ng v\u1edbi m\u00e1y ch\u1ee7 proxy \u0111\u1ec3 ph\u00e1t hi\u1ec7n v\u00e0 ng\u0103n ch\u1eb7n c\u00e1c ho\u1ea1t \u0111\u1ed9ng gian l\u1eadn.<\/p>\n<h2>Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n<ol>\n<li><a href=\"http:\/\/www.dcs.gla.ac.uk\/Keith\/Preface.html\" target=\"_new\" rel=\"noopener nofollow\">B\u00e0i vi\u1ebft n\u0103m 1979 c\u1ee7a Van Rijsbergen<\/a><\/li>\n<li><a href=\"https:\/\/towardsdatascience.com\/accuracy-precision-recall-or-f1-331fb37c5cb9\" target=\"_new\" rel=\"noopener nofollow\">Hi\u1ec3u \u0111i\u1ec3m F1 \u2013 H\u01b0\u1edbng t\u1edbi khoa h\u1ecdc d\u1eef li\u1ec7u<\/a><\/li>\n<li><a href=\"https:\/\/scikit-learn.org\/stable\/modules\/generated\/sklearn.metrics.f1_score.html\" target=\"_new\" rel=\"noopener nofollow\">T\u00e0i li\u1ec7u Scikit-Learn \u2013 \u0110i\u1ec3m F1<\/a><\/li>\n<li><a href=\"https:\/\/www.ritchieng.com\/machine-learning-evaluate-classification-model\/\" target=\"_new\" rel=\"noopener nofollow\">\u0110\u00e1nh gi\u00e1 m\u00f4 h\u00ecnh ph\u00e2n lo\u1ea1i<\/a><\/li>\n<\/ol>","protected":false},"featured_media":468370,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477172","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Understanding the F1 Score: An In-depth Analysis<\/mark>","faq_items":[{"question":"What is an F1 Score?","answer":"<p>The F1 Score is a measure of a model's accuracy on a dataset, specifically used to evaluate binary classification systems. It represents the harmonic mean of the model's precision and recall.<\/p>"},{"question":"Where was the F1 Score first mentioned?","answer":"<p>The term F1 Score was first significantly mentioned in a paper by van Rijsbergen in 1979. This paper, titled \"Information Retrieval,\" introduced the concept of an F-measure, which later evolved into the F1 Score.<\/p>"},{"question":"What is the formula for calculating the F1 Score?","answer":"<p>The F1 Score is calculated using the formulF1 Score = 2 * (Precision * Recall) \/ (Precision + Recall). It provides a balance between Precision and Recall, considering both false positives and false negatives.<\/p>"},{"question":"What are the types of F1 Score?","answer":"<p>Primarily, the F1 Score is classified into two types: Macro-F1 and Micro-F1. Macro-F1 calculates the F1 score separately for each class and then takes the average, ignoring class imbalance. On the other hand, Micro-F1 aggregates the contributions of all classes to compute the average and is better suited for dealing with class imbalance.<\/p>"},{"question":"What challenges does the F1 Score pose?","answer":"<p>While F1 Score is widely used in model evaluation, it poses a few challenges. One of the main challenges is dealing with imbalanced classes. However, this can be addressed by using the Micro-F1 Score.<\/p>"},{"question":"How does the F1 Score compare with other evaluation metrics?","answer":"<p>Accuracy is the ratio of correct predictions to the total predictions but can be misleading with class imbalance. Precision focuses on the relevance of the results, while recall measures how many of the actual positives our model correctly identified. F1 Score provides a balanced measure of precision and recall.<\/p>"},{"question":"How are proxy servers related to the F1 Score?","answer":"<p>While proxy servers might not directly use F1 Score, they play a crucial role in data collection for training and testing machine learning models, which may be evaluated using the F1 Score. Also, in the cybersecurity domain, machine learning models evaluated using F1 Score can be used in conjunction with proxy servers for fraud detection and prevention.<\/p>"},{"question":"What is the future perspective of the F1 Score?","answer":"<p>As machine learning and artificial intelligence evolve, F1 Score is expected to continue its relevancy as a valuable evaluation metric. It will play a significant role in areas like real-time analytics, big data, cybersecurity, etc. Newer algorithms might evolve to incorporate the F1 Score differently or improve upon its foundation.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/477172","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\/477172\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/468370"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=477172"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}