Classificateur Bayes naïf
Naïf Bayes ab xaajkat bu gaaw la, buñu tabax ci kaw theorem bu Bayes biy xalaat ni bépp manndarga moom boppam buñu jox klaas bi.
Résumé
Despite that unrealistic assumption, it works remarkably well for text tasks like spam filtering.
Plongeur bu xóot
Naïf Bayes dafa soppi xaaj bi def ko xayma probabilite. Jëfandikoo theorem bu Bayes, mu xayma probabilite bu benn class buñu jox màndarga yiñ dugal, ba noppi tànn class bi gëna am poñ. Wàll wi 'naïf' mooy xalaat ni bépp man-man moom boppam ci anam wu ñu ko jox klaas bi, suko defee mu mëna yokk probabilite man-man yi ci barab bi ñuy modele seeni jaxasoo. Loolu dafay wàññi bu baax done ak xayma yiñ soxla. Xeetu mbir yiñ gëna xam ñooy Bayes Naïf Multinomial (limu baat yi ci këyit), Bayes Naïf Bernoulli (baatu am/amul), ak Bayes Naïf Gaussian (màndarga yu wéy di modele ak séddale bu jaar yoon). Dafay tàggat ci benn yoon ci kaw done yi, soxlawul tuning bu bari, ba noppi di jëfandikoo ay junni man-man ci anam wu rafet, loolu moo tax mu nekk baseline bu yàgg ngir gis spam ak xaaj dokimaa.
Gis-gis xarala
Ngir klas c ak màndarga x1..xn, dafay xayma P(c) yoon produit bu P(xi|c), ba noppi normalise ko. Ndax bariwaayu probabilite yu ndaw yu bari dafay waral lim yu néew, jëfandikoo gi dafay boole probabilite log yi ci barab bi. Laplace (yokk-benn) nooy dafay tere benn baat buñu gisul nul produit bi yépp. Probabilite P(xi|c) ak P(c) bi njëkk ñu ngi koy xayma ci lim bu yomb ci ensemble tàggat bi, moo tax tàggat bi nekk ci lim fréquence yi kese.
njeextalu pexe
dogal yu gëna leer
Daf lay jàppale nga tàqale kàddu yu leer ci wàllu xarala ak làkku fësal njaay.
Njëgg ak budget
Mën nga laaj laaj yu gëna baax ci samp gi balaa ngay dugal xaalis wala sa jotu liggéey.
Ekip ak def liggéey
Ekip yi bokk xam-xam ñoo gëna mëna jël yenn dogal ci wàllu produit, politik ak jàng.
Ëlëgu Classificateurs Bayes Naïfs
Reseau neuronal yu xóot yi ak transformatër yi ñoo ëpp doole ci wàllu bind, moo tax Naive Bayes bariwul lumuy gëna mëna def. Waaye mingi wéy di nekk royukaay bu dëgër, bu jege ci saasi, jumtukaayu jàngale buñu mëna tekki, ak tànneef bu am solo sudee done yi néew, latency dafa wara tuuti, wala ordinatër bi dafa néew. Xaarandil mu des ci ay filtre yu woyof ci aparey yi, ay pipeline yu gaaw ci prototyping, ak ay sistem hybrid fu benn classifier bu njëkk bu yomb di jaar ci ay duggal balaa ñuy woo model bu gëna diis.
Doxal ci àdduna dëgg
Seggal spam imeel buy jox poñ mesaas yi ci kàddu yi ci nekk
Càmbaru yëg-yëg dafay màndargaal jàngat yi ci produit yi ni lu baax wala lu bon
Routing tikket ndimbal wala xëti xibaar ci kategori topic
Gis làkk ak xaaj dokimaa yu yomb ci biir gasoduk seetlu
Risk yi ak balustrade yi
Ekip yu bari mën nañu jëfandikoo benn baat ci anam wu wuute, kon teela leeral yaatuwaayam.
Benchmark yi mën nañu nuru lu am doole waaye performance yi ci àdduna bi duñu tolloo.
Bëgg kalite done ak palaŋu jàngat dafay faral di jur njariñ yu yomba dagg.
Roadmap ngir samp gi
Tàmbaleel ci joxe leeral ci làkk wu leer ci njariñ li nga soxla.
Tannal benn metric bu baax ak benn anam bu baaxul balaa ngay saytu.
Doxal ab pilote bu ndaw ak ay done yu representatif, du ab demo bu leer.
Këyit fi Naïf Bayes Classifiers di jàppale ak fi pexe yu gëna yomba gëna baax.
Weyal di banneexu
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Gis bi ci topp
Dekodage Risk Bayes bi gëna ndaw
Laaj yi ñuy faral di laaj
What is Naive Bayes Classifiers?
Naïf Bayes ab xaajkat bu gaaw la, buñu tabax ci kaw theorem bu Bayes biy xalaat ni bépp manndarga moom boppam buñu jox klaas bi. Doonte loolu amul benn werante, mingi dox bu baax ci liggéeyi mbind yu melni segg spam.
Lan mooy 'naïf' bi gëna am solo ci benn klassifikatëru Bayes bu Naïf?
Modèle bi dafay xalaat ni man-man bu nekk dafay jàppale boppam ci resultaa biñ jox klaas bi, suko defee mu yokk probabilite yi ci man-man bu nekk.
Ban theorem la Naïf Bayes tabax?
Dafay jëfandikoo theorem bu Bayes ngir soppi probabilite yi ci klas bu njëkk bi ak probabilite yi ci màndarga yi ci probabilite yi ci ginaaw ngir klas bu nekk.
Lan moo waral jëfandikoo gi dafay faral di boole ay probabilite log ci barabu yokk probabilite yu bees yi?
Yaatal probabilite yu bari yu nekk ci suufu 1 mën na wàcci ba amul dara, kon jël log yi ak somme dafay tax math bi nekk bu dëgër.
Lan mooy jafe-jafe bi Laplace (yokkum-benn) di saafara?
Ku amul nooy, baat buñu musul gis ak benn klaas du jox klaas boobu probabilite nul; yokk-benn lim moytu lii.
Ban xeetu Naive Bayes moo gëna baax ci man-mani lim baat ci biir këyit?
Multinomial Naive Bayes dafay wane lim yu wuute yu melni ñaata yoon la baat bu nekk di feeñ, moo tax mu nekk standard ci bind.