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.📦 Tara collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 2.❌ Meera’s bird-song app was tested on 26 new bird songs and got 19 right. How many did it get wrong?
- 3.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
- 4.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
- 5.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 46 right and Model B got 42 right. How many percentage points more accurate is Model A?
- 6.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
- 7.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 21 right and Model B got 17 right. How many percentage points more accurate is Model A?
- 8.📦 Nisha collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 9.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
- 10.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
- 11.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 90 new fruit photos, how many should it get right?
- 12.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 13.❌ Arjun’s fruit sorter was tested on 26 new fruit photos and got 22 right. How many did it get wrong?
- 14.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
- 15.📦 Arjun collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 16.🎯 Arjun’s handwriting reader is 50% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
- 17.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
- 18.📦 Diya collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 19.🎯 Meera’s fruit sorter was tested on 50 new fruit photos and got 37 right. What is its accuracy in percent?
- 20.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
- 21.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
- 22.🎯 Meera’s fruit sorter is 50% accurate. If it is tested on 50 new fruit photos, how many should it get right?
- 23.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
- 24.🎯 Nisha’s fruit sorter is 70% accurate. If it is tested on 70 new fruit photos, how many should it get right?
- 25.🎯 Diya’s fruit sorter is 80% accurate. If it is tested on 30 new fruit photos, how many should it get right?
- 26.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
- 27.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
- 28.📦 Ananya collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 29.📋 Planning an AI project: which comes first — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
- 30.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 12 right. How many percentage points more accurate is Model A?
- 31.🎯 Kabir’s bird-song app was tested on 25 new bird songs and got 19 right. What is its accuracy in percent?
- 32.📋 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
- 33.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
- 34.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
- 35.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
- 36.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
- 37.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 15 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 38.🎯 Meera’s recycling sorter was tested on 10 new waste photos and got 6 right. What is its accuracy in percent?
- 39.❌ Saanvi’s bird-song app was tested on 41 new bird songs and got 38 right. How many did it get wrong?
- 40.🎯 Meera’s spam spotter is 50% accurate. If it is tested on 100 new messages, how many should it get right?
Answer key
- 136
- 7
- correct ÷ total × 100
- choose what to sort
- 8
- test on new photos
- 16
- 72
- work out the accuracy
- train the model
- 45
- calculate percent right
- 4
- more labelled examples
- 128
- 10
- set aside test photos
- 120
- 74
- test on new photos
- train the model
- 25
- let it learn patterns
- 49
- 24
- to see if it learned
- choose what to sort
- 64
- choose what to sort
- 35
- 76
- calculate percent right
- collect fruit photos
- 10
- pick a question to solve
- gather many examples
- 5
- 60
- 3
- 50
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students