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.🎯 Tara’s fruit sorter was tested on 50 new fruit photos and got 44 right. What is its accuracy in percent?
- 2.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
- 3.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
- 4.📋 Planning an AI project: which comes first — recheck every label or calculate percent right? (a) recheck every label (b) calculate percent right
- 5.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
- 6.📋 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
- 7.📦 Arjun collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 8.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
- 9.🎯 Nisha’s handwriting reader was tested on 25 new handwritten letters and got 17 right. What is its accuracy in percent?
- 10.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
- 11.📋 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
- 12.📦 Tara collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 13.🎯 Nisha’s bird-song app is 60% accurate. If it is tested on 70 new bird songs, how many should it get right?
- 14.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
- 15.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
- 16.🎯 Ishaan’s fruit sorter was tested on 25 new fruit photos and got 15 right. What is its accuracy in percent?
- 17.📋 Planning an AI project: which comes first — gather many examples or try unseen examples? (a) gather many examples (b) try unseen examples
- 18.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
- 19.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 18 right and Model B got 13 right. How many percentage points more accurate is Model A?
- 20.📦 Diya collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 21.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) more labelled examples (d) fewer examples
- 22.🎯 Ananya’s leaf identifier was tested on 25 new leaf photos and got 20 right. What is its accuracy in percent?
- 23.📦 Rohan collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 24.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 20 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 25.📋 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
- 26.🎯 Kabir’s bird-song app is 50% accurate. If it is tested on 90 new bird songs, how many should it get right?
- 27.📦 Ananya collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 28.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
- 29.🎯 Ananya’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
- 30.📋 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
- 31.🎯 Rohan’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
- 32.❌ Meera’s spam spotter was tested on 41 new messages and got 40 right. How many did it get wrong?
- 33.🎯 Aarav’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
- 34.🎯 Tara’s bird-song app is 50% accurate. If it is tested on 90 new bird songs, how many should it get right?
- 35.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 45 right and Model B got 43 right. How many percentage points more accurate is Model A?
- 36.🎯 Kabir’s recycling sorter was tested on 25 new waste photos and got 18 right. What is its accuracy in percent?
- 37.📦 Nisha collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 38.🎯 Arjun’s bird-song app was tested on 10 new bird songs and got 9 right. What is its accuracy in percent?
- 39.📦 Nisha collected 170 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 40.📋 Planning an AI project: which comes first — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type
Answer key
- 88
- paper and examples
- correct ÷ total × 100
- recheck every label
- choose what to sort
- label each example
- 32
- to see if it learned
- 68
- let it learn patterns
- pick a question to solve
- 56
- 42
- tag each photo by type
- choose what to sort
- 60
- gather many examples
- test on new photos
- 25
- 144
- more labelled examples
- 80
- 64
- 20
- test on new photos
- 45
- 160
- correct bad labels
- 50
- calculate percent right
- 60
- 1
- 100
- 45
- 4
- 72
- 152
- 90
- 136
- tag each photo by type
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students