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.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
- 2.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
- 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
- 4.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 46 right and Model B got 37 right. How many percentage points more accurate is Model A?
- 5.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
- 6.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
- 7.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
- 8.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
- 9.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 11 right. How many percentage points more accurate is Model A?
- 10.📦 Nisha collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 11.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
- 12.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
- 13.📋 Planning an AI project: which comes first — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
- 14.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
- 15.❌ Kabir’s handwriting reader was tested on 25 new handwritten letters and got 16 right. How many did it get wrong?
- 16.📦 Ananya collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 17.❌ Kabir’s spam spotter was tested on 16 new messages and got 12 right. How many did it get wrong?
- 18.❌ Rohan’s bird-song app was tested on 31 new bird songs and got 27 right. How many did it get wrong?
- 19.🎯 Aarav’s fruit sorter was tested on 10 new fruit photos and got 9 right. What is its accuracy in percent?
- 20.🎯 Rohan’s recycling sorter was tested on 20 new waste photos and got 15 right. What is its accuracy in percent?
- 21.🎯 Saanvi’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
- 22.🎯 Aarav’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
- 23.🎯 Rohan’s leaf identifier was tested on 20 new leaf photos and got 18 right. What is its accuracy in percent?
- 24.📦 Rohan collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 25.📦 Diya collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 26.🎯 Diya’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
- 27.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
- 28.📋 Planning an AI project: which comes first — fix it and test again or label each example? (a) fix it and test again (b) label each example
- 29.🎯 Tara’s handwriting reader was tested on 20 new handwritten letters and got 15 right. What is its accuracy in percent?
- 30.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
- 31.🎯 Aarav’s handwriting reader is 90% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
- 32.🎯 Aarav’s fruit sorter was tested on 20 new fruit photos and got 14 right. What is its accuracy in percent?
- 33.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
- 34.🎯 Vihaan’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
- 35.🎯 Aarav’s handwriting reader is 80% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
- 36.❌ Diya’s leaf identifier was tested on 44 new leaf photos and got 41 right. How many did it get wrong?
- 37.🎯 Ananya’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
- 38.🎯 Kabir’s fruit sorter was tested on 20 new fruit photos and got 17 right. What is its accuracy in percent?
- 39.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
- 40.📦 Tara collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
Answer key
- to see if it learned
- calculate percent right
- more labelled examples
- 18
- 10
- test on new photos
- collect fruit photos
- correct bad labels
- 45
- 104
- pick a question to solve
- 12
- tag each photo by type
- split train and test
- 9
- 64
- 4
- 4
- 90
- 75
- 50
- 100
- 90
- 160
- 56
- 100
- correct bad labels
- label each example
- 75
- test on new photos
- 90
- 70
- gather many examples
- 60
- 48
- 3
- 80
- 85
- paper and examples
- 144
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students