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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
- 2.🎯 Saanvi’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
- 3.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it faster (d) to make it bigger
- 4.🎯 Arjun’s fruit sorter is 80% accurate. If it is tested on 60 new fruit photos, how many should it get right?
- 5.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 11 right. How many percentage points more accurate is Model A?
- 6.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 13 right and Model B got 11 right. How many percentage points more accurate is Model A?
- 7.📦 Tara collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 8.🎯 Nisha’s recycling sorter was tested on 25 new waste photos and got 14 right. What is its accuracy in percent?
- 9.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
- 10.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
- 11.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
- 12.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
- 13.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
- 14.❌ Vihaan’s recycling sorter was tested on 35 new waste photos and got 29 right. How many did it get wrong?
- 15.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
- 16.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
- 17.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 18.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
- 19.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 49 right and Model B got 28 right. How many percentage points more accurate is Model A?
- 20.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
- 21.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
- 22.📦 Meera collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 23.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
- 24.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
- 25.🎯 Saanvi’s recycling sorter was tested on 25 new waste photos and got 15 right. What is its accuracy in percent?
- 26.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
- 27.❌ Nisha’s fruit sorter was tested on 33 new fruit photos and got 30 right. How many did it get wrong?
- 28.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
- 29.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
- 30.🎯 Nisha’s handwriting reader was tested on 20 new handwritten letters and got 14 right. What is its accuracy in percent?
- 31.🎯 Ananya’s spam spotter was tested on 20 new messages and got 14 right. What is its accuracy in percent?
- 32.🎯 Rohan’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
- 33.🎯 Diya’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
- 34.🎯 Meera’s bird-song app was tested on 20 new bird songs and got 15 right. What is its accuracy in percent?
- 35.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
- 36.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
- 37.📦 Vihaan collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 38.🎯 Rohan’s handwriting reader was tested on 50 new handwritten letters and got 36 right. What is its accuracy in percent?
- 39.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
- 40.❌ Kabir’s fruit sorter was tested on 46 new fruit photos and got 40 right. How many did it get wrong?
Answer key
- more labelled examples
- 50
- to see if it learned
- 48
- 45
- 10
- 88
- 56
- 5
- paper and examples
- label each example
- correct ÷ total × 100
- choose what to sort
- 6
- let it learn patterns
- work out the accuracy
- 20
- test on new photos
- 42
- collect fruit photos
- tag each photo by type
- 104
- test on new photos
- let it learn patterns
- 60
- let it learn patterns
- 3
- 5
- calculate percent right
- 70
- 70
- 100
- 60
- 75
- gather many examples
- recheck every label
- 104
- 72
- choose what to sort
- 6
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students