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.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) total − correct (d) correct + total
- 2.🎯 Ananya’s spam spotter is 80% accurate. If it is tested on 80 new messages, how many should it get right?
- 3.🎯 Diya’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
- 4.🧪 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 make it faster (d) to save paper
- 5.🎯 Aarav’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
- 6.❌ Nisha’s bird-song app was tested on 41 new bird songs and got 32 right. How many did it get wrong?
- 7.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
- 8.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) paper and examples (d) a secret password
- 9.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 10.🎯 Ananya’s fruit sorter was tested on 20 new fruit photos and got 17 right. What is its accuracy in percent?
- 11.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
- 12.🎯 Rohan’s recycling sorter is 60% accurate. If it is tested on 90 new waste photos, how many should it get right?
- 13.🎯 Vihaan’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
- 14.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 20 right. How many percentage points more accurate is Model A?
- 15.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
- 16.❌ Arjun’s leaf identifier was tested on 41 new leaf photos and got 33 right. How many did it get wrong?
- 17.📦 Tara collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 18.📦 Kabir collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 19.📦 Nisha collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 20.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
- 21.🎯 Vihaan’s leaf identifier is 60% accurate. If it is tested on 20 new leaf photos, how many should it get right?
- 22.🎯 Vihaan’s fruit sorter is 60% accurate. If it is tested on 80 new fruit photos, how many should it get right?
- 23.🎯 Tara’s fruit sorter is 90% accurate. If it is tested on 30 new fruit photos, how many should it get right?
- 24.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 25.🎯 Aarav’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
- 26.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
- 27.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
- 28.📋 Planning an AI project: which comes first — choose what to sort or work out the accuracy? (a) choose what to sort (b) work out the accuracy
- 29.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
- 30.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
- 31.📋 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
- 32.🎯 Meera’s handwriting reader was tested on 20 new handwritten letters and got 17 right. What is its accuracy in percent?
- 33.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
- 34.❌ Kabir’s fruit sorter was tested on 49 new fruit photos and got 43 right. How many did it get wrong?
- 35.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
- 36.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
- 37.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
- 38.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
- 39.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
- 40.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
Answer key
- correct ÷ total × 100
- 64
- 80
- to see if it learned
- 50
- 9
- more labelled examples
- paper and examples
- 10
- 85
- recheck every label
- 54
- 80
- 20
- tag each photo by type
- 8
- 152
- 64
- 96
- let it learn patterns
- 12
- 48
- 27
- 50
- 80
- 4
- gather many examples
- choose what to sort
- correct bad labels
- recheck every label
- choose what to sort
- 85
- test on new photos
- 6
- label each example
- set aside test photos
- recheck every label
- 4
- correct bad labels
- split train and test
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students