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.❌ Nisha’s leaf identifier was tested on 21 new leaf photos and got 19 right. How many did it get wrong?
- 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
- 3.📦 Kabir collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 4.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 5.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
- 6.📦 Kabir collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 7.🎯 Saanvi’s leaf identifier was tested on 20 new leaf photos and got 12 right. What is its accuracy in percent?
- 8.🎯 Rohan’s fruit sorter is 70% accurate. If it is tested on 50 new fruit photos, how many should it get right?
- 9.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
- 10.📦 Tara collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 11.⚖️ 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?
- 12.🎯 Meera’s fruit sorter is 50% accurate. If it is tested on 100 new fruit photos, how many should it get right?
- 13.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
- 14.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 16 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 15.📋 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
- 16.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
- 17.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
- 18.🎯 Kabir’s fruit sorter is 60% accurate. If it is tested on 20 new fruit photos, how many should it get right?
- 19.📦 Meera collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 20.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
- 21.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
- 22.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
- 23.🎯 Aarav’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
- 24.🎯 Ishaan’s leaf identifier is 60% accurate. If it is tested on 100 new leaf photos, how many should it get right?
- 25.📦 Arjun collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 26.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
- 27.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 49 right and Model B got 44 right. How many percentage points more accurate is Model A?
- 28.📋 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
- 29.📦 Saanvi collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 30.❌ Aarav’s recycling sorter was tested on 35 new waste photos and got 28 right. How many did it get wrong?
- 31.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
- 32.📦 Kabir collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 33.🎯 Ananya’s leaf identifier is 60% accurate. If it is tested on 10 new leaf photos, how many should it get right?
- 34.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
- 35.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
- 36.❌ Kabir’s handwriting reader was tested on 35 new handwritten letters and got 33 right. How many did it get wrong?
- 37.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
- 38.❌ Ishaan’s fruit sorter was tested on 35 new fruit photos and got 27 right. How many did it get wrong?
- 39.🎯 Vihaan’s fruit sorter is 50% accurate. If it is tested on 50 new fruit photos, how many should it get right?
- 40.❌ Diya’s recycling sorter was tested on 13 new waste photos and got 12 right. How many did it get wrong?
Answer key
- 2
- more labelled examples
- 88
- work out the accuracy
- to see if it learned
- 40
- 60
- 35
- try unseen examples
- 72
- 10
- 50
- collect fruit photos
- 10
- pick a question to solve
- paper and examples
- correct ÷ total × 100
- 12
- 32
- test on new photos
- train the model
- gather many examples
- 100
- 60
- 96
- work out the accuracy
- 10
- pick a question to solve
- 112
- 7
- label each example
- 120
- 6
- let it learn patterns
- 20
- 2
- 20
- 8
- 25
- 1
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students