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.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 50 new fruit photos, how many should it get right?
- 2.📋 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
- 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
- 4.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) correct + total (d) total × 2
- 5.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
- 6.🎯 Rohan’s recycling sorter was tested on 20 new waste photos and got 12 right. What is its accuracy in percent?
- 7.❌ Tara’s fruit sorter was tested on 38 new fruit photos and got 35 right. How many did it get wrong?
- 8.🎯 Aarav’s spam spotter is 60% accurate. If it is tested on 20 new messages, how many should it get right?
- 9.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
- 10.🎯 Rohan’s handwriting reader is 60% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
- 11.🎯 Ananya’s leaf identifier was tested on 50 new leaf photos and got 43 right. What is its accuracy in percent?
- 12.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 22 right and Model B got 21 right. How many percentage points more accurate is Model A?
- 13.📋 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
- 14.🎯 Ishaan’s recycling sorter was tested on 50 new waste photos and got 27 right. What is its accuracy in percent?
- 15.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
- 16.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 49 right and Model B got 47 right. How many percentage points more accurate is Model A?
- 17.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
- 18.📋 Planning an AI project: which comes first — fix it and test again or collect fruit photos? (a) fix it and test again (b) collect fruit photos
- 19.🎯 Aarav’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
- 20.⚖️ 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?
- 21.📋 Planning an AI project: which comes first — label each example or test on new photos? (a) label each example (b) test on new photos
- 22.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
- 23.📦 Saanvi collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 24.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
- 25.🎯 Aarav’s recycling sorter was tested on 20 new waste photos and got 18 right. What is its accuracy in percent?
- 26.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) paper and examples (d) nothing at all
- 27.📋 Planning an AI project: which comes first — choose what to sort or work out the accuracy? (a) choose what to sort (b) work out the accuracy
- 28.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
- 29.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
- 30.📋 Planning an AI project: which comes first — label each example or set aside test photos? (a) label each example (b) set aside test photos
- 31.🎯 Ishaan’s leaf identifier is 70% accurate. If it is tested on 70 new leaf photos, how many should it get right?
- 32.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
- 33.📋 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
- 34.🎯 Aarav’s bird-song app is 50% accurate. If it is tested on 30 new bird songs, how many should it get right?
- 35.🎯 Ishaan’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
- 36.🎯 Saanvi’s spam spotter was tested on 20 new messages and got 20 right. What is its accuracy in percent?
- 37.📦 Tara collected 140 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 38.❌ Saanvi’s leaf identifier was tested on 19 new leaf photos and got 14 right. How many did it get wrong?
- 39.📦 Rohan collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 40.📋 Planning an AI project: which comes first — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
Answer key
- 25
- split train and test
- more labelled examples
- correct ÷ total × 100
- calculate percent right
- 60
- 3
- 12
- to see if it learned
- 48
- 86
- 4
- calculate percent right
- 54
- let it learn patterns
- 4
- set aside test photos
- collect fruit photos
- 80
- 10
- label each example
- split train and test
- 104
- recheck every label
- 90
- paper and examples
- choose what to sort
- label each example
- label each example
- label each example
- 49
- 5
- test on new photos
- 15
- 50
- 100
- 112
- 5
- 144
- collect fruit photos
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students