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.🎯 Rohan’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
- 2.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
- 3.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
- 4.❌ Tara’s bird-song app was tested on 49 new bird songs and got 40 right. How many did it get wrong?
- 5.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 43 right and Model B got 26 right. How many percentage points more accurate is Model A?
- 6.📋 Planning an AI project: which comes first — tag each photo by type or test on new photos? (a) tag each photo by type (b) test on new photos
- 7.🎯 Meera’s bird-song app is 50% accurate. If it is tested on 30 new bird songs, how many should it get right?
- 8.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
- 9.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
- 10.🎯 Ananya’s fruit sorter is 90% accurate. If it is tested on 60 new fruit photos, how many should it get right?
- 11.🎯 Kabir’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?
- 12.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
- 13.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
- 14.❌ Saanvi’s recycling sorter was tested on 47 new waste photos and got 38 right. How many did it get wrong?
- 15.❌ Diya’s bird-song app was tested on 36 new bird songs and got 28 right. How many did it get wrong?
- 16.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
- 17.📦 Ananya collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 18.🎯 Rohan’s handwriting reader is 80% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
- 19.🎯 Vihaan’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?
- 20.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
- 21.📋 Planning an AI project: which comes first — fix it and test again or choose what to sort? (a) fix it and test again (b) choose what to sort
- 22.📋 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
- 23.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
- 24.❌ Rohan’s spam spotter was tested on 44 new messages and got 41 right. How many did it get wrong?
- 25.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
- 26.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
- 27.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 40 right and Model B got 34 right. How many percentage points more accurate is Model A?
- 28.🎯 Ananya’s fruit sorter is 80% accurate. If it is tested on 20 new fruit photos, how many should it get right?
- 29.🎯 Saanvi’s handwriting reader was tested on 50 new handwritten letters and got 28 right. What is its accuracy in percent?
- 30.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to save paper (d) to make it faster
- 31.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
- 32.📦 Ananya collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 33.🎯 Aarav’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
- 34.📦 Arjun collected 170 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 35.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
- 36.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 17 right and Model B got 10 right. How many percentage points more accurate is Model A?
- 37.🎯 Diya’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?
- 38.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
- 39.🎯 Aarav’s bird-song app was tested on 25 new bird songs and got 25 right. What is its accuracy in percent?
- 40.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
Answer key
- 100
- set aside test photos
- paper and examples
- 9
- 34
- tag each photo by type
- 15
- gather many examples
- recheck every label
- 54
- 80
- try unseen examples
- try unseen examples
- 9
- 8
- 4
- 48
- 32
- 80
- choose what to sort
- choose what to sort
- choose what to sort
- more labelled examples
- 3
- set aside test photos
- correct bad labels
- 12
- 16
- 56
- to see if it learned
- correct ÷ total × 100
- 88
- 100
- 136
- let it learn patterns
- 35
- 80
- correct bad labels
- 100
- gather many examples
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students