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.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
- 2.🎯 Kabir’s bird-song app is 70% accurate. If it is tested on 40 new bird songs, how many should it get right?
- 3.📋 Planning an AI project: which comes first — try unseen examples or choose what to sort? (a) try unseen examples (b) choose what to sort
- 4.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
- 5.🧪 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
- 6.🎯 Ananya’s handwriting reader was tested on 10 new handwritten letters and got 10 right. What is its accuracy in percent?
- 7.📋 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
- 8.📦 Vihaan collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 9.🎯 Nisha’s handwriting reader is 90% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
- 10.📋 Planning an AI project: which comes first — choose what to sort or fix it and test again? (a) choose what to sort (b) fix it and test again
- 11.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to see if it learned (d) to save paper
- 12.📦 Saanvi collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 13.🎯 Meera’s recycling sorter is 90% accurate. If it is tested on 60 new waste photos, how many should it get right?
- 14.🎯 Meera’s handwriting reader is 80% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
- 15.🧪 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
- 16.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 15 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 17.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
- 18.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
- 19.🎯 Diya’s handwriting reader is 60% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
- 20.📦 Diya collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 21.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
- 22.🎯 Arjun’s fruit sorter is 50% accurate. If it is tested on 60 new fruit photos, how many should it get right?
- 23.❌ Arjun’s spam spotter was tested on 40 new messages and got 33 right. How many did it get wrong?
- 24.📋 Planning an AI project: which comes first — fix it and test again or collect fruit photos? (a) fix it and test again (b) collect fruit photos
- 25.🎯 Meera’s spam spotter is 70% accurate. If it is tested on 60 new messages, how many should it get right?
- 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.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
- 28.❌ Vihaan’s leaf identifier was tested on 30 new leaf photos and got 21 right. How many did it get wrong?
- 29.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 46 right and Model B got 44 right. How many percentage points more accurate is Model A?
- 30.🎯 Meera’s spam spotter is 80% accurate. If it is tested on 80 new messages, how many should it get right?
- 31.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
- 32.📋 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
- 33.❌ Ananya’s spam spotter was tested on 20 new messages and got 17 right. How many did it get wrong?
- 34.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
- 35.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
- 36.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
- 37.❌ Saanvi’s fruit sorter was tested on 37 new fruit photos and got 35 right. How many did it get wrong?
- 38.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 17 right and Model B got 13 right. How many percentage points more accurate is Model A?
- 39.📦 Diya collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 40.🎯 Ishaan’s handwriting reader is 50% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
Answer key
- 2
- 28
- choose what to sort
- gather many examples
- paper and examples
- 100
- work out the accuracy
- 88
- 90
- choose what to sort
- to see if it learned
- 88
- 54
- 32
- more labelled examples
- 5
- collect fruit photos
- collect fruit photos
- 24
- 104
- correct ÷ total × 100
- 30
- 7
- collect fruit photos
- 42
- try unseen examples
- label each example
- 9
- 4
- 64
- recheck every label
- calculate percent right
- 3
- correct bad labels
- let it learn patterns
- split train and test
- 2
- 20
- 88
- 15
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students