Regresioŋ logistik
Regresion logistik dafay wax luy waaja am su amee lu bokk ci benn klaas, lu melni spam wala spam, ci dindi xaalis buñ pondéree ci benn courbe bu am formu S.
Résumé
It matters as the foundational, highly interpretable algorithm for classification.
Plongeur bu xóot
Doonte daa am turam, régression logistic xeetu xaaj la, du régresion. Dafay xayma limu pondéree ci màndarga yiñ dugal, ba noppi mu jàll valeur boobu ci fonction sigmoïde (logistik), biy màndargaal nimero bu nekk ci probabilite bu nekk ci diggante 0 ak 1. Sudee probabilite bi dafa jàll benn threshold, lu bari ci 0.5, dañuy wax point bi ni positif. Modèle bi dafay jàng poid yi ci wàññi perte log (cross-entropy), luy daanel bu baax gëm-gëmu njuumte yi. Benn ci doole yi gëna mag mooy mën nañu ko tekki: poids bu nekk daf lay wax ni màndarga bi di soppi log-odds yi ci resultaa bi, suko defee nga mëna gis ban facteur mooy push prediction bi yéeg wala wàcci. Version yu bari dañu koy yokk ci jëfandikoo fonction softmax.
Gis-gis xarala
Fonction sigmoïde bi, 1 xaaj ko ak (1 yokk ko ci z bu negatif bi), dafay soppi poñ ligneer z ci probabilite. Modèle bi dañu ko tàggat ci wàccinu gradient ngir wàññi entropi cross-perte, muy convex, kon amna benn optimum global. Poids yi dañu am luñuy tekki: bu nekk ci ñoom mooy coppite ci log-odds ci unité bu màndargaam, te exponentiale ko dafay joxe ratio odds bi kàngam yi ci domen bi mëna tekki ci saasi.
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 régresioŋ logistik
Regression logistic dafay yàgg ndax dafa gaaw, leer, te nekk na baseline bu dëgër buñuy jëfandikoo ngir natt ay model yu gëna fancier. Ci wàll yiñ yamale lu ci melni xaalis ak medsin, mën nañu ko tekki moo tax ñu koy jëfandikoo bu baax, foofu lañuy saytu xeetu black-box yi. Dafay dundu itam ci biir reso neuronal yu bees yi: couche de classification bu mujj bi am sigmoid wala softmax mooy régression logistic, kon xam ko buntu la ci jàng bu xóot.
Doxal ci àdduna dëgg
Seggal spam ci imeel: xayma ni mesaas bi mën nekk spam bu bawoo ci baat bi ak ci man-mani ki koy yónnee.
Njortu leble bi: di seetlu ni kiy sàkku leble mënee ñàkka fay, ak ay done yu leer ci poid bi.
Xayma risk yi ci wàllu pajum: xayma chance yi malaad bi mëna am feebar ci test yi ak màndarga yi.
Royuwaayi marketing churn: di seetlu ndax kiliyaan bi dina fomm abonemaa bi weer wii di ñëw.
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.
Bindal fi Régression Logistic di jàppale ak fi pexe yu gëna yomba gëna baax.
Weyal di banneexu
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Gis bi ci topp
IA ci wàllu logistik
Laaj yi ñuy faral di laaj
What is Logistic Regression?
Regresion logistik dafay wax luy waaja am su amee lu bokk ci benn klaas, lu melni spam wala spam, ci dindi xaalis buñ pondéree ci benn courbe bu am formu S. Dafa am solo ni algorithm bu am solo, buñu mëna tekki bu baax ngir xaaj.
Doonte turam noonu la, lan mooy régression logistic?
Regresioŋ logistik dafay génne ab probabilite, ñu koy jëfandikoo ngir xaaj mbir yi ci ay klaas yu wuute, lu ci melni spam ak bu dul spam.
Lan la fonction sigmoïde (logistik) di def ci model bi?
Sigmoid bi dafay dindi poñ ligneer bi ci diggante 0 ba 1 suko defee ñu mëna jàng génne gi ni probabilite.
Ban fonction perte la régression logistic di wàññi ci diiru tàggat yaram?
Regression logistic dañu koy tàggat ci wàññi entropie croix, loolu dafay daanel bu baax xayma probabilite yu wóolu waaye juum.
Lan moo tax ñuy jox solo régression logistic ngir mëna tekki?
Koeffisien yi ñu jàng dañu am luñuy tekki bu leer: bu nekk ci ñoom mingi wane coppite bi am ci log-odds ci benn-benn màndargaam, ñu koy faral di joxe ci ratio odds.
Naka la regresioŋ logistik di soppi probabilite ci etiketu klaas?
Sudee probabilite bi ñu séentu dafa weesu benn purse (0.5), dañuy wax poñ bi ni positif; luko moy negatif.