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.🎯 Rohan’s handwriting reader is 50% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
- 2.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 48 right and Model B got 42 right. How many percentage points more accurate is Model A?
- 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
- 4.❌ Saanvi’s leaf identifier was tested on 32 new leaf photos and got 24 right. How many did it get wrong?
- 5.📋 Planning an AI project: which comes first — split train and test or choose what to sort? (a) split train and test (b) choose what to sort
- 6.📦 Aarav collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 7.🎯 Aarav’s handwriting reader was tested on 20 new handwritten letters and got 11 right. What is its accuracy in percent?
- 8.🧪 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
- 9.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
- 10.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
- 11.📦 Rohan collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 12.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
- 13.📦 Meera collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 14.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
- 15.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 16 right. How many percentage points more accurate is Model A?
- 16.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
- 17.🎯 Nisha’s handwriting reader is 90% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
- 18.🎯 Meera’s fruit sorter was tested on 20 new fruit photos and got 18 right. What is its accuracy in percent?
- 19.🎯 Aarav’s spam spotter was tested on 50 new messages and got 27 right. What is its accuracy in percent?
- 20.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
- 21.📦 Diya collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 22.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
- 23.⚖️ 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?
- 24.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
- 25.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 19 right and Model B got 17 right. How many percentage points more accurate is Model A?
- 26.📋 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
- 27.🎯 Diya’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
- 28.📦 Ishaan collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 29.❌ Rohan’s fruit sorter was tested on 25 new fruit photos and got 24 right. How many did it get wrong?
- 30.❌ Rohan’s leaf identifier was tested on 50 new leaf photos and got 42 right. How many did it get wrong?
- 31.🎯 Nisha’s bird-song app is 60% accurate. If it is tested on 10 new bird songs, how many should it get right?
- 32.🎯 Tara’s fruit sorter is 60% accurate. If it is tested on 80 new fruit photos, how many should it get right?
- 33.📦 Tara collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 34.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
- 35.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
- 36.📋 Planning an AI project: which comes first — tag each photo by type or recheck every label? (a) tag each photo by type (b) recheck every label
- 37.❌ Aarav’s leaf identifier was tested on 20 new leaf photos and got 14 right. How many did it get wrong?
- 38.📦 Aarav collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 39.❌ Tara’s recycling sorter was tested on 50 new waste photos and got 45 right. How many did it get wrong?
- 40.🎯 Rohan’s spam spotter was tested on 50 new messages and got 42 right. What is its accuracy in percent?
Answer key
- 45
- 12
- more labelled examples
- 8
- choose what to sort
- 72
- 55
- paper and examples
- split train and test
- collect fruit photos
- 96
- correct ÷ total × 100
- 48
- label each example
- 36
- to see if it learned
- 18
- 90
- 54
- let it learn patterns
- 32
- 4
- 10
- 10
- 8
- pick a question to solve
- 100
- 152
- 1
- 8
- 6
- 48
- 32
- correct bad labels
- 20
- tag each photo by type
- 6
- 40
- 5
- 84
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students