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) fewer examples (c) a new colour screen (d) a louder speaker
- 2.❌ Diya’s leaf identifier was tested on 36 new leaf photos and got 27 right. How many did it get wrong?
- 3.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
- 4.📋 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
- 5.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 14 right and Model B got 11 right. How many percentage points more accurate is Model A?
- 6.📋 Planning an AI project: which comes first — tag each photo by type or set aside test photos? (a) tag each photo by type (b) set aside test photos
- 7.📋 Planning an AI project: which comes first — pick a question to solve or fix it and test again? (a) pick a question to solve (b) fix it and test again
- 8.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
- 9.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 10.❌ Aarav’s handwriting reader was tested on 37 new handwritten letters and got 36 right. How many did it get wrong?
- 11.📋 Planning an AI project: which comes first — pick a question to solve or test on new photos? (a) pick a question to solve (b) test on new photos
- 12.📦 Ananya collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 13.❌ Vihaan’s bird-song app was tested on 39 new bird songs and got 30 right. How many did it get wrong?
- 14.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
- 15.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
- 16.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
- 17.🎯 Tara’s fruit sorter is 60% accurate. If it is tested on 60 new fruit photos, how many should it get right?
- 18.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it faster (d) to make it bigger
- 19.🎯 Kabir’s spam spotter is 70% accurate. If it is tested on 90 new messages, how many should it get right?
- 20.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
- 21.📋 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
- 22.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
- 23.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
- 24.📋 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
- 25.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 14 right and Model B got 13 right. How many percentage points more accurate is Model A?
- 26.🎯 Ananya’s handwriting reader was tested on 25 new handwritten letters and got 18 right. What is its accuracy in percent?
- 27.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
- 28.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 29.🎯 Ananya’s fruit sorter is 50% accurate. If it is tested on 20 new fruit photos, how many should it get right?
- 30.🎯 Diya’s bird-song app is 90% accurate. If it is tested on 10 new bird songs, how many should it get right?
- 31.🎯 Rohan’s spam spotter was tested on 10 new messages and got 9 right. What is its accuracy in percent?
- 32.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
- 33.🎯 Saanvi’s spam spotter is 50% accurate. If it is tested on 60 new messages, how many should it get right?
- 34.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 49 right and Model B got 48 right. How many percentage points more accurate is Model A?
- 35.🎯 Ishaan’s spam spotter is 60% accurate. If it is tested on 70 new messages, how many should it get right?
- 36.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
- 37.📦 Arjun collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 38.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
- 39.🎯 Tara’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
- 40.📋 Planning an AI project: which comes first — let it learn patterns or correct bad labels? (a) let it learn patterns (b) correct bad labels
Answer key
- more labelled examples
- 9
- label each example
- set aside test photos
- 15
- tag each photo by type
- pick a question to solve
- split train and test
- 20
- 1
- pick a question to solve
- 32
- 9
- 30
- gather many examples
- correct ÷ total × 100
- 36
- to see if it learned
- 63
- test on new photos
- work out the accuracy
- set aside test photos
- let it learn patterns
- calculate percent right
- 4
- 72
- train the model
- 20
- 10
- 9
- 90
- label each example
- 30
- 2
- 42
- train the model
- 80
- pick a question to solve
- 75
- correct bad labels
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students