Build Your Own AI Project Worksheet
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.
NameDateTime takenScore ___ / 40
- 1.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
- 2.📋 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
- 3.❌ Meera’s recycling sorter was tested on 13 new waste photos and got 10 right. How many did it get wrong?
- 4.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
- 5.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
- 6.🎯 Saanvi’s leaf identifier was tested on 25 new leaf photos and got 23 right. What is its accuracy in percent?
- 7.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
- 8.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
- 9.📋 Planning an AI project: which comes first — tag each photo by type or choose what to sort? (a) tag each photo by type (b) choose what to sort
- 10.📋 Planning an AI project: which comes first — set aside test photos or tag each photo by type? (a) set aside test photos (b) tag each photo by type
- 11.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
- 12.🎯 Aarav’s recycling sorter is 50% accurate. If it is tested on 10 new waste photos, how many should it get right?
- 13.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
- 14.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
- 15.📦 Arjun collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 16.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
- 17.🎯 Vihaan’s recycling sorter is 80% accurate. If it is tested on 80 new waste photos, how many should it get right?
- 18.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
- 19.🎯 Meera’s bird-song app was tested on 50 new bird songs and got 44 right. What is its accuracy in percent?
- 20.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
- 21.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 22.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
- 23.🎯 Diya’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
- 24.🧪 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
- 25.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
- 26.🎯 Aarav’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
- 27.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
- 28.❌ Kabir’s handwriting reader was tested on 21 new handwritten letters and got 13 right. How many did it get wrong?
- 29.❌ Kabir’s bird-song app was tested on 40 new bird songs and got 39 right. How many did it get wrong?
- 30.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
- 31.📋 Planning an AI project: which comes first — tag each photo by type or recheck every label? (a) tag each photo by type (b) recheck every label
- 32.❌ Kabir’s fruit sorter was tested on 42 new fruit photos and got 36 right. How many did it get wrong?
- 33.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 15 right and Model B got 13 right. How many percentage points more accurate is Model A?
- 34.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
- 35.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
- 36.🎯 Ishaan’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
- 37.📋 Planning an AI project: which comes first — tag each photo by type or work out the accuracy? (a) tag each photo by type (b) work out the accuracy
- 38.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
- 39.📋 Planning an AI project: which comes first — fix it and test again or correct bad labels? (a) fix it and test again (b) correct bad labels
- 40.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
Answer key
- train the model
- work out the accuracy
- 3
- 10
- tag each photo by type
- 92
- label each example
- gather many examples
- choose what to sort
- tag each photo by type
- 10
- 5
- let it learn patterns
- 10
- 72
- recheck every label
- 64
- train the model
- 88
- collect fruit photos
- calculate percent right
- to see if it learned
- 100
- paper and examples
- correct ÷ total × 100
- 60
- test on new photos
- 8
- 1
- label each example
- tag each photo by type
- 6
- 10
- choose what to sort
- pick a question to solve
- 100
- tag each photo by type
- choose what to sort
- correct bad labels
- 10
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students