Quiz bu leer ak fàttaliku

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

1. Precision mooy tontu ban laaj?
   • Ci positive yépp, ñaata lañu jàpp?
   • Ci mbir yépp ñu wax ni dina ñu am, ñaata ñoo am dëgg?
   • Ban njubte la ci model bi ci gàttal?
   • Ñaata negatif yu dëggu lañu gis?
2. Recall ñu ngi ko xamee ci:
   • Xeetu
   • Jaar-jaar
   • Sax
   • Sensibilite (taux positif dëgg)
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. Ngir test depistaasu feebar bu ñàkk malaad bu feebar moo gëna bon alarm bu dul dëgg, li nga wara njëkka def mooy:
   • Precision bu kawe
   • Rappel bu néew
   • Rappel bu bari
   • Taux négatif dëgg kese
5. Njortu F1 mooy:
   • Moyenne arithmétique bu leer ak fàttaliku
   • moyenne harmonique de précision et de rappel
   • Tolluwaayu njub ak fàttaliku
   • Produit bu dëggu ak fàttaliku
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%