Quiz buy xaaj Bayes

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

1. Lan mooy 'naïf' bi gëna am solo ci benn klassifikatëru Bayes bu Naïf?
   • Man-man yi deñuy moom seen bopp buñu jox klaas bi
   • Class yi mën nañu nekk
   • Man-man yépp ñu ngi wéy di séddale ci anam wu jaar yoon
   • Done yi dañu ekilibre bu baax
2. Ban theorem la Naïf Bayes tabax?
   • Théorème limite centrale
   • Bayes’ theorem
   • Loi des nombres grands
   • The Cauchy-Schwarz inequality
3. Lan moo waral jëfandikoo gi dafay faral di boole ay probabilite log ci barabu yokk probabilite yu bees yi?
   • Def model bi nekkul ligneer
   • ngir gaawlu tàggat yaram ci benn paas
   • Ngir moytu lim yu bari yu ndaw di yokk
   • ngir fexe ba man-man yi moom seen bopp
4. Lan mooy jafe-jafe bi Laplace (yokkum-benn) di saafara?
   • Dafay yemale dayo klaas yi
   • Dafay normalise màndarga yu wéy
   • Dafay dindi màndarga yi korrele
   • Dafay tere màndarga buñu gisul forse ab probabilite bu amul dara
5. Ban xeetu Naive Bayes moo gëna baax ci man-mani lim baat ci biir këyit?
   • Bayes yu bari xam-xam
   • Bayes naïf gaussien
   • Bernoulli naïf bayes
   • Bayes Naïf Ligneer
6. Why might Naive Bayes be useful as a lightweight baseline?
   • Dafay garanti njubte gi gëna baax ci bépp done
   • Dafa gaaw, mën nañu ko tekki, te dafay dox bu baax ak ay done yu néew
   • Dafay jàng ci saasi jaxasoo ci man-man yi
   • Soxlawolen ay done tàggat
7. What distribution does Gaussian Naive Bayes assume for each feature within a class?
   • A uniform distribution over every possible value
   • A multinomial distribution over word counts
   • A Gaussian (normal) distribution
   • A distribution that is always exactly zero
8. Which feature representation fits Bernoulli Naive Bayes most naturally?
   • The number of times each word occurs
   • A continuous pixel intensity modeled by a normal curve
   • A sequence of audio frames
   • Whether each word is present or absent in a document