Precision uye Recall Quiz

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

1. Precision inopindura mubvunzo upi?
   • Pamaposititi chaiwo, mangani atabata?
   • Pazvinhu zvese zvatakafungidzira zvakanaka, zvingani zvaive zvakanaka zvechokwadi?
   • Muenzaniso wacho wakarurama zvakadii?
   • Mangani echokwadi asina kunaka atakawana?
2. Recall inozivikanwawo se:
   • Zvakananga
   • Kururama
   • Kurongeka
   • Sensitivity (yechokwadi yakanaka mwero)
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. Kune bvunzo yekuongorora chirwere uko kushayikwa murwere kwakaipisisa kupfuura alarm yenhema, iwe unofanirwa kuisa pamberi:
   • High nemazvo
   • Kuyeuka kwakaderera
   • High kurangarira
   • True negative rate chete
5. Chiyero cheF1 chinotsanangurwa se:
   • Arithmetic zvinoreva kunyatso uye kuyeuka
   • Harmonic zvinoreva kurongeka uye kurangarira
   • Sum of precision uye rangarira
   • Chigadzirwa chekururama uye kurangarira
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%