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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) fewer examples (d) a louder speaker
- 2.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
- 3.🎯 Saanvi’s fruit sorter was tested on 50 new fruit photos and got 28 right. What is its accuracy in percent?
- 4.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
- 5.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
- 6.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 15 right and Model B got 13 right. How many percentage points more accurate is Model A?
- 7.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 18 right and Model B got 13 right. How many percentage points more accurate is Model A?
- 8.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
- 9.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
- 10.🎯 Kabir’s bird-song app is 60% accurate. If it is tested on 90 new bird songs, how many should it get right?
- 11.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
- 12.❌ Vihaan’s spam spotter was tested on 35 new messages and got 31 right. How many did it get wrong?
- 13.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
- 14.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
- 15.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 31 right and Model B got 30 right. How many percentage points more accurate is Model A?
- 16.🎯 Nisha’s fruit sorter is 70% accurate. If it is tested on 50 new fruit photos, how many should it get right?
- 17.⚖️ 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?
- 18.❌ Ishaan’s recycling sorter was tested on 40 new waste photos and got 34 right. How many did it get wrong?
- 19.📋 Planning an AI project: which comes first — pick a question to solve or work out the accuracy? (a) pick a question to solve (b) work out the accuracy
- 20.🎯 Ishaan’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
- 21.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
- 22.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 17 right and Model B got 13 right. How many percentage points more accurate is Model A?
- 23.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 13 right. How many percentage points more accurate is Model A?
- 24.📦 Saanvi collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 25.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
- 26.📋 Planning an AI project: which comes first — tag each photo by type or set aside test photos? (a) tag each photo by type (b) set aside test photos
- 27.❌ Nisha’s recycling sorter was tested on 30 new waste photos and got 28 right. How many did it get wrong?
- 28.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples
- 29.📋 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
- 30.📋 Planning an AI project: which comes first — fix it and test again or label each example? (a) fix it and test again (b) label each example
- 31.📦 Rohan collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 32.🎯 Meera’s recycling sorter is 90% accurate. If it is tested on 40 new waste photos, how many should it get right?
- 33.🎯 Nisha’s fruit sorter was tested on 20 new fruit photos and got 10 right. What is its accuracy in percent?
- 34.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
- 35.📋 Planning an AI project: which comes first — choose what to sort or recheck every label? (a) choose what to sort (b) recheck every label
- 36.🎯 Vihaan’s handwriting reader is 70% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
- 37.📋 Planning an AI project: which comes first — choose what to sort or work out the accuracy? (a) choose what to sort (b) work out the accuracy
- 38.📋 Planning an AI project: which comes first — try unseen examples or choose what to sort? (a) try unseen examples (b) choose what to sort
- 39.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
- 40.📦 Meera collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
Answer key
- more labelled examples
- 4
- 56
- correct ÷ total × 100
- gather many examples
- 8
- 20
- 20
- to see if it learned
- 54
- set aside test photos
- 4
- paper and examples
- work out the accuracy
- 2
- 35
- 10
- 6
- pick a question to solve
- 75
- set aside test photos
- 16
- 48
- 160
- label each example
- tag each photo by type
- 2
- gather many examples
- pick a question to solve
- label each example
- 104
- 36
- 50
- 10
- choose what to sort
- 28
- choose what to sort
- choose what to sort
- let it learn patterns
- 160
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students