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) more labelled examples (b) a new colour screen (c) fewer examples (d) a louder speaker
- 2.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
- 3.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
- 4.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 5.🎯 Tara’s bird-song app is 60% accurate. If it is tested on 90 new bird songs, how many should it get right?
- 6.❌ Aarav’s leaf identifier was tested on 29 new leaf photos and got 25 right. How many did it get wrong?
- 7.🎯 Saanvi’s leaf identifier was tested on 25 new leaf photos and got 19 right. What is its accuracy in percent?
- 8.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
- 9.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
- 10.❌ Nisha’s handwriting reader was tested on 44 new handwritten letters and got 38 right. How many did it get wrong?
- 11.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 12.📋 Planning an AI project: which comes first — work out the accuracy or recheck every label? (a) work out the accuracy (b) recheck every label
- 13.🎯 Diya’s bird-song app is 60% accurate. If it is tested on 30 new bird songs, how many should it get right?
- 14.🎯 Kabir’s fruit sorter was tested on 50 new fruit photos and got 43 right. What is its accuracy in percent?
- 15.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
- 16.🧪 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
- 17.❌ Kabir’s leaf identifier was tested on 43 new leaf photos and got 40 right. How many did it get wrong?
- 18.🎯 Diya’s bird-song app was tested on 50 new bird songs and got 27 right. What is its accuracy in percent?
- 19.📋 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
- 20.❌ Vihaan’s handwriting reader was tested on 25 new handwritten letters and got 20 right. How many did it get wrong?
- 21.📋 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
- 22.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 23.🎯 Ishaan’s spam spotter was tested on 50 new messages and got 26 right. What is its accuracy in percent?
- 24.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
- 25.🎯 Rohan’s spam spotter is 80% accurate. If it is tested on 50 new messages, how many should it get right?
- 26.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
- 27.📦 Arjun collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 28.❌ Aarav’s leaf identifier was tested on 12 new leaf photos and got 11 right. How many did it get wrong?
- 29.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
- 30.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
- 31.🎯 Aarav’s handwriting reader was tested on 50 new handwritten letters and got 37 right. What is its accuracy in percent?
- 32.🎯 Aarav’s spam spotter is 70% accurate. If it is tested on 80 new messages, how many should it get right?
- 33.📦 Nisha collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 34.🎯 Diya’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
- 35.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
- 36.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
- 37.📦 Vihaan collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 38.📦 Ananya collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 39.🎯 Rohan’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
- 40.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
Answer key
- more labelled examples
- correct ÷ total × 100
- correct bad labels
- 10
- 54
- 4
- 76
- correct bad labels
- gather many examples
- 6
- 20
- recheck every label
- 18
- 86
- label each example
- to see if it learned
- 3
- 54
- calculate percent right
- 5
- work out the accuracy
- 30
- 52
- split train and test
- 40
- 20
- 128
- 1
- train the model
- test on new photos
- 74
- 56
- 144
- 100
- set aside test photos
- pick a question to solve
- 40
- 120
- 60
- choose what to sort
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