Kedis ku xidhan hagaha · Dhexdhexaad Heerka

Kediska Saxda ah iyo Xusuusashada

Kala saar saxnaanta iyo dib-u-celinta, xisaabi jaangooyooyinka heerka togan, baadh ganacsiga bilowga ah, oo turjumaan ku habboonaanta natiijooyinka darajada sare.

Wadooyinka haga ee la xidhiidhaSaxnaanta iyo Xusuusta
Su'aal 1 ee 8

Su'aasha saxda ah ayaa ka jawaabeysa?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Su'aasha saxda ah ayaa ka jawaabeysa?
    • Dhammaan wanaagga dhabta ah, imisa ayaanu qabannay?
    • Dhammaan shayyada aan sii saadaalinnay togan, imisa ayaa run ahaantii togan?
    • Intee in le'eg ayuu yahay qaabka guud ahaan?
    • Immisa xumaan oo run ah ayaan helnay?
  2. Dib u soo celinta ayaa sidoo kale loo yaqaan:
    • Gaar ahaan
    • Saxnaanta
    • Saxnaanta
    • Dareenka (qiimaha saxda ah ee dhabta ah)
  3. On a fixed evaluation set, lowering a positive-class decision threshold usually produces which tradeoff?
    • Recall can increase while precision can fall
    • Precision and recall must increase by equal amounts
    • The model necessarily predicts fewer positives
    • Neither metric can ever change
  4. Baaritaanka baarista cudurka halka maqnaanshaha bukaan buka ay aad uga xun tahay digniinta beenta ah, waa inaad mudnaanta siisaa:
    • Saxnimo sare
    • Xusuusin hoose
    • Xusuusin sare
    • Qiyaasta xun ee runta ah kaliya
  5. Dhibcaha F1 waxaa lagu qeexay sida:
    • Xisaabta macnaha saxnaanta iyo dib u soo celinta
    • Macnaha Harmonic ee saxnaanta iyo dib u soo celinta
    • Wadarta saxnaanta iyo dib u soo celinta
    • Wax soo saarka saxnaanta iyo dib u soo celinta
  6. Why can precision and recall reveal a weakness hidden by high accuracy on a dataset dominated by negatives?
    • They focus on positive predictions and actual positives instead of rewarding a large true-negative count
    • They measure the true-negative rate directly
    • They must both exceed accuracy
    • They guarantee reliability regardless of sample size
  7. A classifier has 20 true positives, 5 false positives, and 10 false negatives. Which precision and recall values follow?
    • Precision 2/3; recall 4/5
    • Precision 20/35; recall 20/35
    • Precision 1/4; recall 1/2
    • Precision 4/5; recall 2/3
  8. Six of the top ten search results are relevant. What is precision@10 for that result list?
    • 100%
    • 40%
    • 60%
    • 6%