quiz bu lëkkale ak tegtal · Yomb Niveau

Laaj ak jaxasoo

Xoolaat ni lim matriks jaxasoo di wane njuumti yi ci klassifikatër bi, jàppale metrik yiñ gëna xam, ak wuute ci klaas yi ak bibliotek yi.

Yooni njiit yu jëm ciMatriks yu jaxasoo
Laaj 1 de 8

Ci biir matrix bu jaxasoo binär, lan mooy Njuumteg Negatif?

Xoolaatal laaj bu nekk8 laaj

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

  1. Ci biir matrix bu jaxasoo binär, lan mooy Njuumteg Negatif?
    • Cas positif bi model bi juum ci wax ni negatif
    • Negatif biñu wax ni negatif la
    • Negatif biñu juum ci liñu wax ni positive la
    • Positif buñu xamee bu baax ni positif la
  2. Ni ñuy xaymaa njub mooy:
    • TP / (TP + FN)
    • TP / (TP + FP)
    • TN / (TN + FP)
    • (TP + TN) / lëmm
  3. Ban metrik mooy natt limu positif yi model bi di xàmmee ci anam wu jaar yoon?
    • Sax
    • Xeetu
    • Rappel
    • Jaar-jaar
  4. Ci biir matrix bu jaxasoo ngir benn jafe-jafe bu am 5 klaas, lan la selil diagonaal yi di màndargaal?
    • Xalaat yu jaarul yoon
    • Njuumteg positif kese
    • Limu misaal yépp
    • Xalaatal bu jaar yoon ngir klaas bu nekk
  5. Lan moo waral njub kese mën na réer te amul matrix buy jaxasoo?
    • Dafay nëbb ekilibre bi am ci digganté xeeti njuumte yu bari yu melni njuumte positif ak njuumte negatif
    • Jaar-jaar du saa yu nekk
    • Mënuñu ko xayma ci jafe-jafe binar
    • Dafay laaj ay probabilite ci barabu etiket yi
  6. Njortu F1 mooy moyenne harmonique ci ban ñaari metrics?
    • Jaar ak leer
    • Precision ak fàttaliku
    • Sensitivite ak spesifisite
    • Dëgg lu baax ak lu baaxul dëgg
  7. In a binary confusion matrix, which count is a False Positive?
    • An actual positive that the model predicts as positive
    • An actual positive that the model predicts as negative
    • An actual negative that the model predicts as positive
    • An actual negative that the model predicts as negative
  8. Why should you check a library's confusion-matrix axis labels before calculating precision or recall?
    • The diagonal always contains false positives
    • Axis order changes the number of observations in the dataset
    • Precision and recall use no confusion-matrix cells
    • Libraries may place true classes in rows and predicted classes in columns, or use a different orientation