Celceliska Saxnaanta iyo Kediska PR-AUC

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Tirada saxda ah ee lagu cabbiro safka dib u eegista ee la doortay?
   • The fraction of all positive cases that were selected
   • The fraction of selected cases that are positive
   • The fraction of all negative cases that were excluded
   • The average score assigned to every unselected case
2. Marka la eego qiimeynta aan lahayn buundooyin isku xiran, waxa kaliya ee togan waa koowaad iyo saddexaad. Waa kuwee celceliska saxda ah ee soo socota?
   • 0.5
   • 0.667
   • 1.0
   • About 0.833
3. Maxay trapezoidal PR-AUC uga duwanaan kartaa saxnaanta celceliska?
   • They use different interpolation and summation rules
   • Average precision averages precision equally across every threshold
   • Trapezoidal PR-AUC weights only thresholds where a positive case enters
   • Average precision always evaluates exactly one decision threshold
4. Alaabooyinkee ayaa ilaalinaya macluumaadka darajo ee loo baahan yahay saxnaanta celceliska?
   • Only the final hard decisions and their total count
   • Observed labels and one shared threshold, without per-case scores
   • Observed labels and model prediction scores
   • Only a confusion matrix at one threshold
5. Laba xog-ururin ayaa leh faafitaan heer togan oo aad u kala duwan. Maxaa la socda isbarbardhigga buundooyinkooda dib-u-celinta saxda ah?
   • Only overall accuracy on each dataset
   • The positive fractions and evaluation sampling designs
   • Only whether the two models use the same threshold
   • Only whether the predicted scores occupy the same numeric range
6. What happens to recall as a score threshold is lowered and more cases are included?
   • It must strictly increase at every step
   • It can decrease when a negative case is added
   • It must become identical to precision
   • It cannot decrease
7. Why must tied prediction scores be handled carefully when calculating average precision?
   • Equal-score cases cross a threshold together
   • Changing the order of tied rows always leaves the no-ties rank shortcut unchanged
   • A threshold can select tied positives before tied negatives
   • Tied examples should each receive a different threshold based on their true labels
8. A model has high average precision. Which deployment question still needs a separate check?
   • Whether the model achieved a useful summary across thresholds
   • Whether the reported summary used precision and recall
   • Whether precision and workload are acceptable at the chosen operating threshold
   • Whether recall increases were used as weights in the reported AP calculation