2024 Tus sau: Elizabeth Oswald | [email protected]. Kawg hloov kho: 2024-01-13 00:07
Tus qauv logistic regression nws tus kheej tsuas yog ua qauv ntawm qhov tshwm sim ntawm cov khoom siv thiab tsis ua raws li kev faib tawm (nws tsis yog cais tawm), txawm tias nws tuaj yeem siv los ua ib qho kev faib tawm, piv txwv li los ntawm kev xaiv tus nqi txiav tawm thiab faib cov khoom nkag nrog qhov tshwm sim ntau dua li qhov txiav tawm ua ib qho…
Yuav ua li cas logistic regression yuav siv tau raws li ib tug classifier?
Logistic regression yog ib qho yooj yim tsis tau zoo heev algorithm yog li nws yog feem ntau siv rau ntau yam binary faib ua hauj lwm. … Logistic regression qauv yuav siv sij hawm kab zauv sib npaug raws li cov tswv yim thiab siv logistic muaj nuj nqi thiab teev qhov txawv txav los uaua haujlwm binary.
Puas logistic regression yog kev faib lossis kev rov qab?
Logistic regression yog a kev faib tawm algorithm siv los muab kev soj ntsuam rau cov chav kawm sib cais. Qee qhov piv txwv ntawm cov teeb meem kev faib tawm yog Email spam lossis tsis spam, Online muas Fraud lossis tsis Fraud, Tumor Malignant lossis Benign.
Vim li cas logistic regression yog classifier?
Logistic regression yog ib qho supervised classification algorithm. Nyob rau hauv ib qho teeb meem kev faib tawm, lub hom phiaj sib txawv (lossis cov zis), y, tuaj yeem siv cov txiaj ntsig tsis sib xws rau qhov muab cov yam ntxwv (lossis cov khoom siv), X. Tsis zoo li kev ntseeg nrov, logistic regression yog tus qauv regression.
Puas logistic regression yog linear classifier?
Logistic Regression tau ib txwm siv los ua a linear classifier, piv txwv li thaum cov chav kawm tuaj yeem sib cais hauv qhov chaw tshwj xeeb los ntawm kab ciam teb. Qhov ntawd tuaj yeem kho tau txawm li cas los xij yog tias peb tshwm sim kom muaj lub tswv yim zoo dua li cov duab ntawm kev txiav txim siab ciam teb… … Qhov kev txiav txim siab ciam teb yog li linear.
Pom zoo:
Yog yug los nrog caudal regression syndrome?
Caudal regression syndrome yog ib qho mob tsis tshua muaj tshwm sim hauv lub cev xeeb tub Kev pheej hmoo nce nyob rau hauv ib qho xwm txheej hauv qab no: tsev neeg keeb kwm ntawm kev yug me nyuam los yog lwm yam kab mob caj ces. Kev siv yeeb tshuaj, haus cawv, lossis haus luam yeeb thaum cev xeeb tub .
Dab tsi yog classifier hauv kev kawm tshuab?
Hauv kev txheeb cais, kev faib tawm yog qhov teeb meem ntawm kev txheeb xyuas qhov twg ntawm pawg kev soj ntsuam, yog nyob rau. Piv txwv yog muab email rau hauv chav kawm "spam" lossis "non-spam", thiab muab kev kuaj mob rau tus neeg mob raws li tus neeg mob pom zoo.
Rau qhov kev txheeb xyuas logistic regression?
Logistic regression tsom xam yog siv los tshuaj xyuas cov koom haum ntawm (categorical lossis txuas ntxiv) tus kheej hloov pauv (s) nrog ib qho kev hloov pauv dichotomous. Qhov no yog qhov sib piv rau kev txheeb xyuas kab rov tav uas qhov sib txawv ntawm qhov sib txawv yog qhov sib txawv tsis tu ncua.
Puas 4 lub hlis pw tsaug zog regression xaus?
Tab sis lawv ua tiav. Muab koj ua raws li koj tus menyuam lub sijhawm pw tsaug zog thiab ua cov kauj ruam kom tsis txhob tsim cov cwj pwm phem (ntxiv rau hauv qab no), 4 lub hlis pw tsaug zog yuav tsum kawg ntawm nws tus kheej li ntawm ob lub lis piam lossis tsawg dua.
Thaum twg yog 4 lub hlis pw tsaug zog regression?
Kev pw tsaug zog 4 lub hlis tuaj yeem pib ntxov li 3 hlis-laus lossis lig li 5-hli-hnub. Nws yog ntau ntxiv txog thaum koj tus menyuam lub voj voog pw tsaug zog pib hloov - rau feem ntau, nws yog nyob ib ncig ntawm 4 lub hlis, tab sis nws tuaj yeem ua ntej me ntsis lossis tom qab me ntsis.
