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.❌ Ananya’s bird-song app was tested on 41 new bird songs and got 39 right. How many did it get wrong?
- 2.🎯 Aarav’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
- 3.🧪 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
- 4.🎯 Aarav’s handwriting reader was tested on 20 new handwritten letters and got 16 right. What is its accuracy in percent?
- 5.🧪 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
- 6.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
- 7.❌ Rohan’s recycling sorter was tested on 38 new waste photos and got 31 right. How many did it get wrong?
- 8.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
- 9.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
- 10.📋 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
- 11.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
- 12.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 13.🎯 Aarav’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
- 14.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 43 right and Model B got 25 right. How many percentage points more accurate is Model A?
- 15.🎯 Ananya’s handwriting reader was tested on 25 new handwritten letters and got 18 right. What is its accuracy in percent?
- 16.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
- 17.📋 Planning an AI project: which comes first — tag each photo by type or set aside test photos? (a) tag each photo by type (b) set aside test photos
- 18.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 18 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 19.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
- 20.🎯 Kabir’s leaf identifier is 50% accurate. If it is tested on 10 new leaf photos, how many should it get right?
- 21.📦 Saanvi collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 22.🎯 Vihaan’s leaf identifier was tested on 25 new leaf photos and got 19 right. What is its accuracy in percent?
- 23.🎯 Ishaan’s fruit sorter is 60% accurate. If it is tested on 10 new fruit photos, how many should it get right?
- 24.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
- 25.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
- 26.📋 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
- 27.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
- 28.🎯 Ananya’s leaf identifier is 70% accurate. If it is tested on 20 new leaf photos, how many should it get right?
- 29.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
- 30.❌ Aarav’s handwriting reader was tested on 49 new handwritten letters and got 42 right. How many did it get wrong?
- 31.📦 Meera collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 32.❌ Vihaan’s fruit sorter was tested on 35 new fruit photos and got 33 right. How many did it get wrong?
- 33.❌ Kabir’s fruit sorter was tested on 22 new fruit photos and got 16 right. How many did it get wrong?
- 34.📋 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
- 35.❌ Diya’s bird-song app was tested on 38 new bird songs and got 34 right. How many did it get wrong?
- 36.❌ Meera’s recycling sorter was tested on 17 new waste photos and got 13 right. How many did it get wrong?
- 37.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 43 right and Model B got 40 right. How many percentage points more accurate is Model A?
- 38.📋 Planning an AI project: which comes first — gather many examples or fix it and test again? (a) gather many examples (b) fix it and test again
- 39.❌ Vihaan’s handwriting reader was tested on 36 new handwritten letters and got 32 right. How many did it get wrong?
- 40.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
Answer key
- 2
- 60
- more labelled examples
- 80
- to see if it learned
- correct ÷ total × 100
- 7
- train the model
- recheck every label
- work out the accuracy
- 10
- 44
- 75
- 36
- 72
- paper and examples
- tag each photo by type
- 20
- label each example
- 5
- 48
- 76
- 6
- 4
- tag each photo by type
- let it learn patterns
- let it learn patterns
- 14
- choose what to sort
- 7
- 128
- 2
- 6
- calculate percent right
- 4
- 4
- 6
- gather many examples
- 4
- correct bad labels
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students