Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 527 · 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 38 right and Model B got 29 right. How many percentage points more accurate is Model A?
2. 2.🎯 Ananya’s spam spotter was tested on 10 new messages and got 10 right. What is its accuracy in percent?
3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
4. 4.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
5. 5.🎯 Rohan’s fruit sorter was tested on 20 new fruit photos and got 16 right. What is its accuracy in percent?
6. 6.❌ Kabir’s recycling sorter was tested on 44 new waste photos and got 38 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
8. 8.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to save paper (d) to make it faster
9. 9.🎯 Aarav’s leaf identifier was tested on 10 new leaf photos and got 8 right. What is its accuracy in percent?
10. 10.📦 Ananya collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
11. 11.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
12. 12.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
13. 13.🎯 Vihaan’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
14. 14.📋 Planning an AI project: which comes first — let it learn patterns or choose what to sort? (a) let it learn patterns (b) choose what to sort
15. 15.🎯 Aarav’s fruit sorter is 70% accurate. If it is tested on 10 new fruit photos, how many should it get right?
16. 16.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total − correct (d) total × 2
17. 17.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 37 right and Model B got 36 right. How many percentage points more accurate is Model A?
18. 18.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
19. 19.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
20. 20.❌ Aarav’s fruit sorter was tested on 48 new fruit photos and got 47 right. How many did it get wrong?
21. 21.🎯 Tara’s fruit sorter was tested on 50 new fruit photos and got 31 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
23. 23.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
24. 24.❌ Saanvi’s handwriting reader was tested on 34 new handwritten letters and got 33 right. How many did it get wrong?
25. 25.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
26. 26.❌ Ananya’s recycling sorter was tested on 26 new waste photos and got 18 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — pick a question to solve or gather many examples? (a) pick a question to solve (b) gather many examples
28. 28.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 13 right. How many percentage points more accurate is Model A?
29. 29.🎯 Ananya’s spam spotter is 60% accurate. If it is tested on 60 new messages, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
31. 31.🎯 Arjun’s handwriting reader is 60% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
32. 32.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
33. 33.🎯 Kabir’s bird-song app was tested on 50 new bird songs and got 38 right. What is its accuracy in percent?
34. 34.❌ Rohan’s fruit sorter was tested on 31 new fruit photos and got 26 right. How many did it get wrong?
35. 35.🎯 Aarav’s handwriting reader is 50% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
36. 36.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) nothing at all (d) a secret password
37. 37.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
38. 38.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
39. 39.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 10 right. How many percentage points more accurate is Model A?
40. 40.❌ Saanvi’s recycling sorter was tested on 47 new waste photos and got 41 right. How many did it get wrong?

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