Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 359 · 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.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
2. 2.⚖️ 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?
3. 3.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
4. 4.❌ Kabir’s leaf identifier was tested on 50 new leaf photos and got 42 right. How many did it get wrong?
5. 5.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 14 right and Model B got 10 right. How many percentage points more accurate is Model A?
6. 6.🎯 Rohan’s leaf identifier was tested on 25 new leaf photos and got 24 right. What is its accuracy in percent?
7. 7.📋 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
8. 8.🎯 Diya’s recycling sorter is 60% accurate. If it is tested on 80 new waste photos, how many should it get right?
9. 9.🎯 Ananya’s spam spotter was tested on 25 new messages and got 16 right. What is its accuracy in percent?
10. 10.📋 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
11. 11.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 44 right and Model B got 27 right. How many percentage points more accurate is Model A?
12. 12.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
13. 13.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
14. 14.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
15. 15.📦 Arjun collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
16. 16.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
17. 17.📦 Meera collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
18. 18.❌ Rohan’s handwriting reader was tested on 44 new handwritten letters and got 35 right. How many did it get wrong?
19. 19.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
20. 20.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 50 right and Model B got 32 right. How many percentage points more accurate is Model A?
21. 21.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
22. 22.🎯 Diya’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
24. 24.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it bigger (d) to make it faster
25. 25.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
26. 26.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
27. 27.🎯 Rohan’s leaf identifier is 90% accurate. If it is tested on 100 new leaf photos, how many should it get right?
28. 28.📦 Rohan collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
29. 29.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
30. 30.📦 Diya collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
31. 31.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
32. 32.🎯 Rohan’s handwriting reader is 60% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
33. 33.❌ Tara’s leaf identifier was tested on 40 new leaf photos and got 31 right. How many did it get wrong?
34. 34.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
35. 35.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
36. 36.🎯 Aarav’s fruit sorter is 70% accurate. If it is tested on 100 new fruit photos, how many should it get right?
37. 37.📦 Rohan collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
38. 38.❌ Saanvi’s handwriting reader was tested on 16 new handwritten letters and got 14 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
40. 40.🎯 Arjun’s fruit sorter is 80% accurate. If it is tested on 50 new fruit photos, how many should it get right?

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students