quiz bu lëkkale ak tegtal · Diggante Niveau

IA ci quiz biy wax luy waaja am ci Churn

Xoolaat ni xeetu churn yi di jëfandikoo jaar-jaari doxalin, leeral palanteer yi ñuy wax luy am, jëflante ak njariñ yu tolloowul, ak tegtal jeegooy tëye.

Yooni njiit yu jëm ciIA Ci Xalaatal Churn Kiliyaan
Laaj 1 de 8

Luy 'client churn'?

Xoolaatal laaj bu nekk8 laaj

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

  1. Luy 'client churn'?
    • Kiliyaan biy fomm wala bàyyi jëfandikoo benn produit wala serwiis
    • Kiliyaan yi dañuy yokk seen xaalis
    • Liggéeyu jël kiliyaan yu bees
    • Benn xeetu imeel fësal njaay
  2. Ban xeetu jafe-jafe jàngu masin lañuy faral di wax ci wax luy waaja am?
    • Clustering buñu dul saytu
    • Classification buñu saytu ci jëfandikoo ay done yuñ etikete ci jaar-jaar
    • Njàngale mu am doole ci neexal yi
    • Defar nataal
  3. Lan moo waral njubte bu leer nekkul metrik bu baax ci xeetu churn yi?
    • mënu ñu xayma njub
    • Jaar-jaar du dox ludul ci nataal yi
    • Churn datasets yi desekilibre, kon wax luy waaja am 'amul churn' ngir ku nekk mënna nuru lu jaar yoon
    • Churn amul benn njariñ buñ mëna natt
  4. Luy 'fuite de données' ci anam yii?
    • Kiliyaan yi di séddoo seeni baatu-jàll
    • Ñàkk ay dokimaa kiliyaan ci pirat yi
    • Laajte yu yeex ci base de done
    • Màndarga buy enkode njariñ li ci lu jaarul yoon, lu melni bisu fomm, yokk performance
  5. Ban famiy algorithm moo gëna siiw ci done churn tablo?
    • Garab yiy jël dogal yu melni XGBoost ak LightGBM
    • Reseau neuronal konvolusioŋ
    • Reseau neuronal yu bari ngir audio
    • K-dafay tekki boole rek
  6. Lan la 'modeling uplift' di yokk ginaaw li ñuy wax ci churn?
    • Dafay tax model bi gëna gaaw ci daw
    • It estimates which customers may be more likely to benefit from an intervention
    • Dina dindi bépp soxla ci done
    • Kiliyaan yu bees rek lay dox
  7. Which feature group can help a churn model detect weakening customer engagement?
    • The color of the customer’s profile image
    • A feature recorded only after cancellation has occurred
    • Recent activity and usage frequency, alongside contract and support history
    • The model’s GPU temperature during training
  8. What should a team define when labeling a churn model’s prediction target?
    • The color scheme of the account dashboard
    • The number of features before collecting customer history
    • A fixed decision threshold before model training begins
    • A clear prediction horizon, such as whether a customer will leave within the next 30 or 90 days