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.📦 Kabir collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
- 3.📦 Rohan collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 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 — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
- 6.🧪 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
- 7.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 8.🎯 Nisha’s spam spotter was tested on 50 new messages and got 50 right. What is its accuracy in percent?
- 9.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
- 10.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 19 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 11.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 45 right and Model B got 43 right. How many percentage points more accurate is Model A?
- 12.🎯 Vihaan’s fruit sorter was tested on 20 new fruit photos and got 16 right. What is its accuracy in percent?
- 13.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 18 right. How many percentage points more accurate is Model A?
- 14.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
- 15.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 15 right and Model B got 12 right. How many percentage points more accurate is Model A?
- 16.❌ Ananya’s bird-song app was tested on 24 new bird songs and got 17 right. How many did it get wrong?
- 17.📋 Planning an AI project: which comes first — split train and test or choose what to sort? (a) split train and test (b) choose what to sort
- 18.🎯 Ananya’s recycling sorter is 60% accurate. If it is tested on 100 new waste photos, how many should it get right?
- 19.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
- 20.❌ Vihaan’s bird-song app was tested on 36 new bird songs and got 27 right. How many did it get wrong?
- 21.🎯 Aarav’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
- 22.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
- 23.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 18 right. How many percentage points more accurate is Model A?
- 24.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 49 right and Model B got 37 right. How many percentage points more accurate is Model A?
- 25.📦 Diya collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 26.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
- 27.❌ Saanvi’s fruit sorter was tested on 43 new fruit photos and got 39 right. How many did it get wrong?
- 28.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 100 new fruit photos, how many should it get right?
- 29.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
- 30.🎯 Tara’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
- 31.📋 Planning an AI project: which comes first — label each example or let it learn patterns? (a) label each example (b) let it learn patterns
- 32.📋 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
- 33.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
- 34.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
- 35.🎯 Saanvi’s fruit sorter is 70% accurate. If it is tested on 80 new fruit photos, how many should it get right?
- 36.📦 Saanvi collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 37.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
- 38.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
- 39.📋 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
- 40.❌ Rohan’s bird-song app was tested on 44 new bird songs and got 37 right. How many did it get wrong?
Answer key
- 136
- more labelled examples
- 32
- correct ÷ total × 100
- gather many examples
- to see if it learned
- 30
- 100
- 10
- 20
- 4
- 80
- 28
- gather many examples
- 15
- 7
- choose what to sort
- 60
- paper and examples
- 9
- 50
- correct bad labels
- 24
- 24
- 40
- set aside test photos
- 4
- 50
- correct bad labels
- 90
- label each example
- calculate percent right
- calculate percent right
- train the model
- 56
- 48
- train the model
- let it learn patterns
- work out the accuracy
- 7
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