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.🎯 Vihaan’s spam spotter is 60% accurate. If it is tested on 30 new messages, how many should it get right?
- 2.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
- 3.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 14 right and Model B got 10 right. How many percentage points more accurate is Model A?
- 4.⚖️ 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?
- 5.🎯 Nisha’s leaf identifier was tested on 25 new leaf photos and got 24 right. What is its accuracy in percent?
- 6.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
- 7.📋 Planning an AI project: which comes first — tag each photo by type or collect fruit photos? (a) tag each photo by type (b) collect fruit photos
- 8.🎯 Vihaan’s recycling sorter is 60% accurate. If it is tested on 50 new waste photos, how many should it get right?
- 9.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 23 right and Model B got 19 right. How many percentage points more accurate is Model A?
- 10.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
- 11.❌ Ananya’s spam spotter was tested on 46 new messages and got 39 right. How many did it get wrong?
- 12.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
- 13.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
- 14.❌ Ishaan’s fruit sorter was tested on 22 new fruit photos and got 14 right. How many did it get wrong?
- 15.🎯 Meera’s fruit sorter was tested on 50 new fruit photos and got 46 right. What is its accuracy in percent?
- 16.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
- 17.📋 Planning an AI project: which comes first — choose what to sort or split train and test? (a) choose what to sort (b) split train and test
- 18.📋 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
- 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 gather many examples? (a) calculate percent right (b) gather many examples
- 21.🎯 Diya’s recycling sorter was tested on 20 new waste photos and got 17 right. What is its accuracy in percent?
- 22.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) a louder speaker (d) fewer examples
- 23.⚖️ 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?
- 24.🎯 Vihaan’s leaf identifier was tested on 50 new leaf photos and got 46 right. What is its accuracy in percent?
- 25.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
- 26.🎯 Kabir’s recycling sorter was tested on 25 new waste photos and got 13 right. What is its accuracy in percent?
- 27.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
- 28.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
- 29.📦 Rohan collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 30.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
- 31.📋 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
- 32.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
- 33.❌ Ananya’s spam spotter was tested on 33 new messages and got 24 right. How many did it get wrong?
- 34.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
- 35.📋 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
- 36.❌ Saanvi’s fruit sorter was tested on 31 new fruit photos and got 22 right. How many did it get wrong?
- 37.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
- 38.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
- 39.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
- 40.📦 Vihaan collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
Answer key
- 18
- correct ÷ total × 100
- 20
- 10
- 96
- try unseen examples
- collect fruit photos
- 30
- 16
- split train and test
- 7
- split train and test
- to see if it learned
- 8
- 92
- set aside test photos
- choose what to sort
- work out the accuracy
- try unseen examples
- gather many examples
- 85
- more labelled examples
- 25
- 92
- collect fruit photos
- 52
- collect fruit photos
- paper and examples
- 144
- split train and test
- calculate percent right
- gather many examples
- 9
- recheck every label
- split train and test
- 9
- label each example
- collect fruit photos
- 5
- 104
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students