Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 179 · 40 questions

AI tip (Accuracy = correct ÷ total × 100): Steps: 1 choose a problem → 2 collect examples → 3 label them → 4 check and correct bad labels (clean the data) → 5 split into training and test sets → 6 train → 7 test with new examples → 8 measure accuracy → 9 improve the data and retest. Accuracy = correct ÷ total × 100. Wrong = total − correct. Expected right = accuracy ÷ 100 × total. Keep some examples apart for testing (for example one fifth); the rest are for training.

1. 1.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 48 right and Model B got 45 right. How many percentage points more accurate is Model A?
2. 2.❌ Aarav’s spam spotter was tested on 32 new messages and got 27 right. How many did it get wrong?
3. 3.📦 Aarav collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
4. 4.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
5. 5.🎯 Diya’s spam spotter was tested on 25 new messages and got 20 right. What is its accuracy in percent?
6. 6.📋 Planning an AI project: which comes first — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns
7. 7.📦 Ishaan collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
8. 8.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 16 right and Model B got 14 right. How many percentage points more accurate is Model A?
9. 9.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
10. 10.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
11. 11.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
12. 12.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
13. 13.❌ Kabir’s fruit sorter was tested on 43 new fruit photos and got 35 right. How many did it get wrong?
14. 14.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
15. 15.📦 Kabir collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
16. 16.🎯 Diya’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
17. 17.🎯 Diya’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
18. 18.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
19. 19.📦 Nisha collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Aarav’s leaf identifier is 50% accurate. If it is tested on 40 new leaf photos, how many should it get right?
21. 21.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
22. 22.🎯 Aarav’s handwriting reader was tested on 50 new handwritten letters and got 47 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
24. 24.🎯 Saanvi’s spam spotter is 60% accurate. If it is tested on 10 new messages, how many should it get right?
25. 25.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
26. 26.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
27. 27.❌ Vihaan’s leaf identifier was tested on 38 new leaf photos and got 30 right. How many did it get wrong?
28. 28.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 15 right and Model B got 14 right. How many percentage points more accurate is Model A?
29. 29.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
30. 30.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
31. 31.❌ Diya’s fruit sorter was tested on 33 new fruit photos and got 26 right. How many did it get wrong?
32. 32.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
33. 33.🎯 Tara’s bird-song app was tested on 50 new bird songs and got 34 right. What is its accuracy in percent?
34. 34.❌ Vihaan’s recycling sorter was tested on 48 new waste photos and got 39 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
36. 36.❌ Meera’s fruit sorter was tested on 39 new fruit photos and got 34 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label
38. 38.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
40. 40.❌ Aarav’s leaf identifier was tested on 30 new leaf photos and got 28 right. How many did it get wrong?

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