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.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
- 2.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
- 3.📋 Planning an AI project: which comes first — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples
- 4.🎯 Meera’s leaf identifier was tested on 10 new leaf photos and got 7 right. What is its accuracy in percent?
- 5.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
- 6.🎯 Tara’s recycling sorter was tested on 20 new waste photos and got 10 right. What is its accuracy in percent?
- 7.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
- 8.🎯 Diya’s spam spotter is 70% accurate. If it is tested on 50 new messages, how many should it get right?
- 9.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
- 10.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
- 11.🎯 Rohan’s fruit sorter was tested on 10 new fruit photos and got 9 right. What is its accuracy in percent?
- 12.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
- 13.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
- 14.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
- 15.❌ Kabir’s leaf identifier was tested on 27 new leaf photos and got 18 right. How many did it get wrong?
- 16.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
- 17.❌ Meera’s bird-song app was tested on 48 new bird songs and got 43 right. How many did it get wrong?
- 18.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
- 19.❌ Ananya’s bird-song app was tested on 42 new bird songs and got 34 right. How many did it get wrong?
- 20.📋 Planning an AI project: which comes first — calculate percent right or pick a question to solve? (a) calculate percent right (b) pick a question to solve
- 21.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
- 22.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
- 23.🎯 Meera’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
- 24.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 50 right and Model B got 46 right. How many percentage points more accurate is Model A?
- 25.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 37 right. How many percentage points more accurate is Model A?
- 26.🎯 Arjun’s leaf identifier is 60% accurate. If it is tested on 90 new leaf photos, how many should it get right?
- 27.❌ Meera’s recycling sorter was tested on 22 new waste photos and got 13 right. How many did it get wrong?
- 28.🎯 Ishaan’s spam spotter is 70% accurate. If it is tested on 90 new messages, how many should it get right?
- 29.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
- 30.❌ Meera’s spam spotter was tested on 28 new messages and got 26 right. How many did it get wrong?
- 31.🎯 Rohan’s bird-song app is 60% accurate. If it is tested on 20 new bird songs, how many should it get right?
- 32.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
- 33.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
- 34.📋 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
- 35.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
- 36.📦 Ishaan collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 37.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
- 38.🎯 Tara’s spam spotter is 60% accurate. If it is tested on 30 new messages, how many should it get right?
- 39.🎯 Nisha’s bird-song app is 80% accurate. If it is tested on 90 new bird songs, how many should it get right?
- 40.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
Answer key
- label each example
- correct ÷ total × 100
- gather many examples
- 70
- paper and examples
- 50
- to see if it learned
- 35
- let it learn patterns
- 30
- 90
- label each example
- recheck every label
- label each example
- 9
- 10
- 5
- more labelled examples
- 8
- pick a question to solve
- 10
- correct bad labels
- 60
- 8
- 26
- 54
- 9
- 63
- split train and test
- 2
- 12
- 5
- 30
- work out the accuracy
- 10
- 80
- label each example
- 18
- 72
- 20
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students