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.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
- 2.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
- 3.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 40 right and Model B got 33 right. How many percentage points more accurate is Model A?
- 4.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
- 5.🧪 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
- 6.📦 Vihaan collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 7.📋 Planning an AI project: which comes first — split train and test or tag each photo by type? (a) split train and test (b) tag each photo by type
- 8.🎯 Tara’s bird-song app was tested on 10 new bird songs and got 8 right. What is its accuracy in percent?
- 9.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
- 10.🎯 Ishaan’s leaf identifier is 90% accurate. If it is tested on 30 new leaf photos, how many should it get right?
- 11.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 40 new fruit photos, how many should it get right?
- 12.🎯 Kabir’s bird-song app was tested on 10 new bird songs and got 7 right. What is its accuracy in percent?
- 13.📋 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
- 14.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
- 15.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
- 16.🎯 Meera’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
- 17.🎯 Nisha’s bird-song app is 80% accurate. If it is tested on 90 new bird songs, how many should it get right?
- 18.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
- 19.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
- 20.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 21.🎯 Ishaan’s leaf identifier was tested on 25 new leaf photos and got 15 right. What is its accuracy in percent?
- 22.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 49 right and Model B got 40 right. How many percentage points more accurate is Model A?
- 23.🎯 Meera’s handwriting reader was tested on 50 new handwritten letters and got 44 right. What is its accuracy in percent?
- 24.📋 Planning an AI project: which comes first — fix it and test again or pick a question to solve? (a) fix it and test again (b) pick a question to solve
- 25.🎯 Ananya’s leaf identifier was tested on 10 new leaf photos and got 7 right. What is its accuracy in percent?
- 26.📋 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
- 27.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
- 28.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 19 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 29.📦 Diya collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 30.📦 Nisha collected 150 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 31.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
- 32.🎯 Kabir’s fruit sorter is 60% accurate. If it is tested on 90 new fruit photos, how many should it get right?
- 33.❌ Vihaan’s leaf identifier was tested on 49 new leaf photos and got 48 right. How many did it get wrong?
- 34.🎯 Diya’s spam spotter is 80% accurate. If it is tested on 80 new messages, how many should it get right?
- 35.🎯 Rohan’s recycling sorter is 70% accurate. If it is tested on 30 new waste photos, how many should it get right?
- 36.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
- 37.📦 Vihaan collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 38.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
- 39.📦 Nisha collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 40.🎯 Kabir’s handwriting reader is 70% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
Answer key
- work out the accuracy
- to see if it learned
- 14
- 10
- paper and examples
- 64
- tag each photo by type
- 80
- more labelled examples
- 27
- 20
- 70
- work out the accuracy
- 20
- pick a question to solve
- 50
- 72
- split train and test
- correct ÷ total × 100
- 20
- 60
- 18
- 88
- pick a question to solve
- 70
- calculate percent right
- label each example
- 20
- 40
- 120
- label each example
- 54
- 1
- 64
- 21
- choose what to sort
- 144
- test on new photos
- 64
- 7
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students