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.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
- 2.🎯 Ananya’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
- 3.🎯 Saanvi’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
- 4.🎯 Meera’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
- 5.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
- 6.📦 Ananya collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 7.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
- 8.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
- 9.🎯 Arjun’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
- 10.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
- 11.🎯 Vihaan’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
- 12.❌ Diya’s recycling sorter was tested on 21 new waste photos and got 16 right. How many did it get wrong?
- 13.📦 Nisha collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 14.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it bigger (d) to make it faster
- 15.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
- 16.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 17.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
- 18.🎯 Tara’s spam spotter was tested on 25 new messages and got 16 right. What is its accuracy in percent?
- 19.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
- 20.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
- 21.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
- 22.📦 Arjun collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 23.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
- 24.🎯 Aarav’s recycling sorter was tested on 25 new waste photos and got 21 right. What is its accuracy in percent?
- 25.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
- 26.📋 Planning an AI project: which comes first — recheck every label or try unseen examples? (a) recheck every label (b) try unseen examples
- 27.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 45 right and Model B got 28 right. How many percentage points more accurate is Model A?
- 28.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
- 29.🎯 Vihaan’s recycling sorter is 50% accurate. If it is tested on 80 new waste photos, how many should it get right?
- 30.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
- 31.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
- 32.🎯 Vihaan’s recycling sorter is 50% accurate. If it is tested on 20 new waste photos, how many should it get right?
- 33.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
- 34.📋 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
- 35.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 18 right and Model B got 13 right. How many percentage points more accurate is Model A?
- 36.📦 Rohan collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 37.🎯 Ananya’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
- 38.🎯 Meera’s spam spotter was tested on 50 new messages and got 39 right. What is its accuracy in percent?
- 39.📦 Ananya collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 40.📋 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
Answer key
- calculate percent right
- 60
- 75
- 60
- pick a question to solve
- 48
- correct ÷ total × 100
- 5
- 80
- set aside test photos
- 100
- 5
- 152
- to see if it learned
- set aside test photos
- calculate percent right
- correct bad labels
- 64
- try unseen examples
- let it learn patterns
- 10
- 80
- tag each photo by type
- 84
- test on new photos
- recheck every label
- 34
- train the model
- 40
- choose what to sort
- paper and examples
- 10
- 20
- work out the accuracy
- 25
- 152
- 75
- 78
- 160
- test on new photos
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students