Naive Bayes Ibyiciro
Naive Bayes nihuta, birashoboka ko byubatswe byubatswe kuri theorem ya Bayes yibwira ko buri kintu cyigenga ukurikije icyiciro.
Incamake
Despite that unrealistic assumption, it works remarkably well for text tasks like spam filtering.
Kwibira cyane
Naive Bayes ihindura ibyiciro muburyo bwo kubara. Ukoresheje theorem ya Bayes, iragereranya amahirwe yicyiciro ukurikije ibyinjijwe, hanyuma igatora icyiciro hamwe n amanota menshi. Igice cya 'naive' ni ugutekereza ko ibintu byose byigenga byigenga ukurikije icyiciro, bityo birashobora kugwiza ibintu byihariye bishoboka aho kwerekana imikoranire yabo. Ibi bigabanya cyane amakuru no kubara bikenewe. Ibihinduka bisanzwe birimo Multinomial Naive Bayes (ijambo ribarwa mu nyandiko), Bernoulli Naive Bayes (ijambo rihari / ridahari), na Gaussian Naive Bayes (ibintu bikomeza bigereranywa no kugabana bisanzwe). Itoza mumurongo umwe hejuru yamakuru, ikenera guhuza bike, kandi ikora neza ibihumbi nibiranga neza, ibyo bikaba byarabaye urwego rwibanze rwo kumenya spam no gutondekanya inyandiko.
Ubushishozi
Kubyiciro c nibiranga x1..xn, ibara P (c) inshuro ibicuruzwa bya P (xi | c), hanyuma birasanzwe. Kuberako kugwiza ibintu byinshi bito bitera umubare wuzuye, gushyira mubikorwa amafaranga log-probabilité aho. Laplace (ongeraho-imwe) yoroshye irinda ijambo rimwe ritagaragara guhagarika ibicuruzwa byose. Ibishoboka P (xi | c) hamwe na P (c) ibanziriza kugereranywa no kubara byoroshye uhereye kumahugurwa, niyo mpamvu amahugurwa mubyukuri aringaniza inshuro.
Ingaruka z'Ingamba
Ibyemezo bisobanutse
Iragufasha gutandukanya ibyifuzo bya tekiniki bisobanutse nururimi rwo kwamamaza.
Igiciro na bije
Urashobora kubaza ibibazo byiza byo gushyira mubikorwa mbere yo gukoresha amafaranga cyangwa igihe.
Itsinda hamwe nakazi
Amakipe asangiye ibitekerezo akora ibicuruzwa byiza, politiki, nibyemezo byo kwiga.
Kazoza ka Naive Bayes Ibyiciro
Imiyoboro yimbitse nini hamwe na transformateur ubu biganje mubyiciro byanditse, Naive Bayes rero ni gake cyane ikora neza. Ariko yihangane nkibikomeye, hafi-byihuse, igikoresho cyo kwigisha gisobanurwa, hamwe nuguhitamo gufatika mugihe amakuru ari make, ubukererwe bugomba kuba buto, cyangwa kubara bigarukira. Witegereze ko izakomeza gushyirwamo urumuri ruto ku bikoresho byungurura, imiyoboro yihuta ya prototyping, hamwe na sisitemu ya Hybrid aho inzira yahendutse ya mbere-yambere itondekanya inzira yinjiza mbere yo gusaba icyitegererezo kiremereye.
Gushyira mu bikorwa Isi
Imeri ya spam iyungurura itanga amanota kumagambo arimo
Isesengura ryimyumvire yerekana ibicuruzwa bisubirwamo nkibintu byiza cyangwa bibi
Guhitamo amatike yingoboka cyangwa amakuru yamakuru mubyiciro
Kumenya ururimi hamwe ninyandiko zoroshye muburyo bwo gushakisha
Ingaruka & Kurinda
Amakipe atandukanye arashobora gukoresha ijambo rimwe muburyo butandukanye, sobanura intera hakiri kare.
Ibipimo birashobora kugaragara bikomeye mugihe imikorere-yisi-itaringaniye.
Kwirengagiza ubuziranenge bwamakuru na gahunda yo gusuzuma akenshi bitanga ibisubizo byoroshye.
Igishushanyo mbonera
Tangira nururimi rusobanutse rwibisubizo ukeneye.
Toranya intsinzi imwe hamwe nuburyo bumwe bwo gutsindwa mbere yo kwipimisha.
Koresha umuderevu muto hamwe namakuru ahagarariye, ntabwo ari demo yashizweho.
Inyandiko aho Naive Bayes Classifiers ifasha kandi nuburyo bworoshye bworoshye.
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Ubuyobozi bukurikira
Nibura Bayes Risk Decoding
Ibibazo bikunze kubazwa
What is Naive Bayes Classifiers?
Naive Bayes nihuta, birashoboka ko byubatswe byubatswe kuri theorem ya Bayes yibwira ko buri kintu cyigenga ukurikije icyiciro. Nubwo icyo gitekerezo kidashoboka, gikora neza cyane kubikorwa byanditse nko gushungura spam.
Ni ubuhe butumwa bwibanze 'naive' muburyo bwa Naive Bayes?
Icyitegererezo gifata buri kintu kigira uruhare mu bwigenge ku bisubizo byatanzwe mu cyiciro, kureka bikagwira kuri buri kintu gishoboka.
Niyihe theorem Naive Bayes yubatswe?
Ikoresha theorem ya Bayes kugirango ihindure ibyiciro byambere byashoboka kandi biranga amahirwe yo kuba inyuma yinyuma kuri buri cyiciro.
Ni ukubera iki gushyira mubikorwa mubisanzwe biteranya log-probabilité aho kugwiza ibintu bishoboka?
Kugwiza ibishoboka byinshi munsi ya 1 birashobora gutemba kuri zeru, gufata ibiti hamwe nincamake bituma imibare ihagarara.
Ni ikihe kibazo Laplace (ongeraho-imwe) yoroshye gukemura?
Hatabayeho koroshya, ijambo ritigeze riboneka hamwe nishuri ritanga iryo shuri zero bishoboka; Ongeraho-imwe ibara wirinde ibi.
Ni ubuhe bwoko bwa Naive Bayes busanzwe muburyo bwo kubara ijambo mu nyandiko?
Multinomial Naive Bayes yerekana imibare itandukanye nkinshuro buri jambo rigaragara, bigatuma risanzwe ryanditse.