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.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to see if it learned (d) to save paper
- 2.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 23 right. How many percentage points more accurate is Model A?
- 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
- 4.❌ Diya’s handwriting reader was tested on 26 new handwritten letters and got 23 right. How many did it get wrong?
- 5.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
- 6.📦 Rohan collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 7.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
- 8.🎯 Meera’s leaf identifier is 90% accurate. If it is tested on 90 new leaf photos, how many should it get right?
- 9.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
- 10.📋 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
- 11.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
- 12.📦 Arjun collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 13.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
- 14.🎯 Ananya’s handwriting reader is 60% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
- 15.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
- 16.🎯 Ananya’s handwriting reader was tested on 20 new handwritten letters and got 15 right. What is its accuracy in percent?
- 17.🎯 Ishaan’s handwriting reader is 60% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
- 18.🎯 Aarav’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
- 19.❌ Aarav’s fruit sorter was tested on 22 new fruit photos and got 17 right. How many did it get wrong?
- 20.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
- 21.🎯 Vihaan’s handwriting reader is 80% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
- 22.🎯 Saanvi’s fruit sorter was tested on 25 new fruit photos and got 23 right. What is its accuracy in percent?
- 23.📋 Planning an AI project: which comes first — choose what to sort or train the model? (a) choose what to sort (b) train the model
- 24.🎯 Nisha’s spam spotter is 80% accurate. If it is tested on 50 new messages, how many should it get right?
- 25.📦 Vihaan collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 26.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
- 27.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 49 right and Model B got 47 right. How many percentage points more accurate is Model A?
- 28.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) only a big robot (d) nothing at all
- 29.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
- 30.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
- 31.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
- 32.❌ Vihaan’s spam spotter was tested on 47 new messages and got 46 right. How many did it get wrong?
- 33.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
- 34.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
- 35.📋 Planning an AI project: which comes first — pick a question to solve or gather many examples? (a) pick a question to solve (b) gather many examples
- 36.📦 Aarav collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 37.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 38.📦 Aarav collected 100 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 39.❌ Rohan’s spam spotter was tested on 20 new messages and got 19 right. How many did it get wrong?
- 40.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
Answer key
- to see if it learned
- 8
- more labelled examples
- 3
- try unseen examples
- 64
- label each example
- 81
- choose what to sort
- pick a question to solve
- gather many examples
- 80
- collect fruit photos
- 54
- correct ÷ total × 100
- 75
- 54
- 50
- 5
- correct bad labels
- 48
- 92
- choose what to sort
- 40
- 104
- try unseen examples
- 4
- paper and examples
- correct bad labels
- pick a question to solve
- gather many examples
- 1
- test on new photos
- test on new photos
- pick a question to solve
- 136
- work out the accuracy
- 80
- 1
- 10
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students