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.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 14 right and Model B got 11 right. How many percentage points more accurate is Model A?
- 2.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
- 3.📋 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
- 4.🎯 Saanvi’s bird-song app is 70% accurate. If it is tested on 30 new bird songs, how many should it get right?
- 5.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
- 6.📦 Aarav collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 7.❌ Saanvi’s spam spotter was tested on 34 new messages and got 29 right. How many did it get wrong?
- 8.📋 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
- 9.🧪 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
- 10.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) a secret password (d) only a big robot
- 11.🧪 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
- 12.🎯 Nisha’s recycling sorter is 80% accurate. If it is tested on 30 new waste photos, how many should it get right?
- 13.🎯 Aarav’s handwriting reader is 70% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
- 14.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
- 15.🎯 Vihaan’s handwriting reader is 90% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
- 16.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
- 17.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
- 18.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
- 19.🎯 Saanvi’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
- 20.🎯 Diya’s leaf identifier is 60% accurate. If it is tested on 10 new leaf photos, how many should it get right?
- 21.📋 Planning an AI project: which comes first — collect fruit photos or tag each photo by type? (a) collect fruit photos (b) tag each photo by type
- 22.🎯 Rohan’s spam spotter is 90% accurate. If it is tested on 100 new messages, how many should it get right?
- 23.🎯 Diya’s recycling sorter is 90% accurate. If it is tested on 10 new waste photos, how many should it get right?
- 24.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
- 25.📋 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
- 26.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
- 27.🎯 Vihaan’s fruit sorter was tested on 20 new fruit photos and got 13 right. What is its accuracy in percent?
- 28.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
- 29.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
- 30.🎯 Ananya’s handwriting reader is 50% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
- 31.📋 Planning an AI project: which comes first — pick a question to solve or improve data, retest? (a) pick a question to solve (b) improve data, retest
- 32.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
- 33.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
- 34.❌ Aarav’s spam spotter was tested on 29 new messages and got 23 right. How many did it get wrong?
- 35.📦 Diya collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 36.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples
- 37.🎯 Arjun’s spam spotter is 90% accurate. If it is tested on 30 new messages, how many should it get right?
- 38.📋 Planning an AI project: which comes first — tag each photo by type or split train and test? (a) tag each photo by type (b) split train and test
- 39.🎯 Rohan’s spam spotter is 80% accurate. If it is tested on 10 new messages, how many should it get right?
- 40.📋 Planning an AI project: which comes first — choose what to sort or set aside test photos? (a) choose what to sort (b) set aside test photos
Answer key
- 15
- correct ÷ total × 100
- work out the accuracy
- 21
- split train and test
- 56
- 5
- work out the accuracy
- to see if it learned
- paper and examples
- more labelled examples
- 24
- 21
- 4
- 90
- train the model
- choose what to sort
- work out the accuracy
- 75
- 6
- collect fruit photos
- 90
- 9
- gather many examples
- let it learn patterns
- try unseen examples
- 65
- try unseen examples
- collect fruit photos
- 45
- pick a question to solve
- 5
- let it learn patterns
- 6
- 128
- gather many examples
- 27
- tag each photo by type
- 8
- choose what to sort
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students