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 spam spotter models were tested on the same 20 messages. Model A got 17 right and Model B got 12 right. How many percentage points more accurate is Model A?
- 2.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
- 3.🎯 Kabir’s recycling sorter is 80% accurate. If it is tested on 40 new waste photos, how many should it get right?
- 4.🎯 Tara’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
- 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples
- 6.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
- 7.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
- 8.🎯 Tara’s bird-song app is 50% accurate. If it is tested on 60 new bird songs, how many should it get right?
- 9.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
- 10.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
- 11.📋 Planning an AI project: which comes first — choose what to sort or fix it and test again? (a) choose what to sort (b) fix it and test again
- 12.❌ Kabir’s fruit sorter was tested on 25 new fruit photos and got 24 right. How many did it get wrong?
- 13.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
- 14.📋 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
- 15.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
- 16.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
- 17.❌ Ishaan’s spam spotter was tested on 18 new messages and got 16 right. How many did it get wrong?
- 18.🎯 Vihaan’s fruit sorter is 60% accurate. If it is tested on 90 new fruit photos, how many should it get right?
- 19.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
- 20.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
- 21.🎯 Diya’s leaf identifier is 50% accurate. If it is tested on 70 new leaf photos, how many should it get right?
- 22.🎯 Arjun’s handwriting reader was tested on 25 new handwritten letters and got 19 right. What is its accuracy in percent?
- 23.❌ Arjun’s handwriting reader was tested on 40 new handwritten letters and got 35 right. How many did it get wrong?
- 24.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
- 25.📋 Planning an AI project: which comes first — pick a question to solve or calculate percent right? (a) pick a question to solve (b) calculate percent right
- 26.📦 Saanvi collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 27.🎯 Ishaan’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
- 28.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 29.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples
- 30.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
- 31.🎯 Arjun’s leaf identifier is 70% accurate. If it is tested on 100 new leaf photos, how many should it get right?
- 32.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
- 33.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
- 34.🎯 Kabir’s fruit sorter was tested on 20 new fruit photos and got 11 right. What is its accuracy in percent?
- 35.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
- 36.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
- 37.🎯 Meera’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
- 38.📦 Ananya collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 39.❌ Vihaan’s leaf identifier was tested on 44 new leaf photos and got 35 right. How many did it get wrong?
- 40.📋 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
Answer key
- 25
- let it learn patterns
- 32
- 100
- more labelled examples
- calculate percent right
- train the model
- 30
- split train and test
- to see if it learned
- choose what to sort
- 1
- label each example
- work out the accuracy
- paper and examples
- collect fruit photos
- 2
- 54
- collect fruit photos
- correct ÷ total × 100
- 35
- 76
- 5
- set aside test photos
- pick a question to solve
- 152
- 50
- calculate percent right
- gather many examples
- label each example
- 70
- correct bad labels
- label each example
- 55
- train the model
- set aside test photos
- 100
- 56
- 9
- calculate percent right
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students