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.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
- 2.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
- 3.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 17 right. How many percentage points more accurate is Model A?
- 4.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
- 5.📦 Meera collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 6.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) paper and examples (d) a secret password
- 7.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 37 right and Model B got 28 right. How many percentage points more accurate is Model A?
- 8.📋 Planning an AI project: which comes first — fix it and test again or pick a question to solve? (a) fix it and test again (b) pick a question to solve
- 9.📦 Aarav collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 10.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 11.📦 Nisha collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 12.📋 Planning an AI project: which comes first — tag each photo by type or collect fruit photos? (a) tag each photo by type (b) collect fruit photos
- 13.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
- 14.📦 Aarav collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 15.🎯 Meera’s fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?
- 16.🎯 Aarav’s fruit sorter was tested on 50 new fruit photos and got 39 right. What is its accuracy in percent?
- 17.📋 Planning an AI project: which comes first — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns
- 18.❌ Diya’s fruit sorter was tested on 45 new fruit photos and got 38 right. How many did it get wrong?
- 19.🎯 Aarav’s bird-song app is 60% accurate. If it is tested on 50 new bird songs, how many should it get right?
- 20.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
- 21.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
- 22.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
- 23.📦 Aarav collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 24.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
- 25.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
- 26.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 27.⚖️ 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?
- 28.📦 Meera collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 29.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
- 30.🎯 Meera’s bird-song app was tested on 20 new bird songs and got 13 right. What is its accuracy in percent?
- 31.📦 Ishaan collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 32.❌ Rohan’s spam spotter was tested on 45 new messages and got 40 right. How many did it get wrong?
- 33.🎯 Ananya’s spam spotter is 80% accurate. If it is tested on 60 new messages, how many should it get right?
- 34.❌ Saanvi’s leaf identifier was tested on 49 new leaf photos and got 42 right. How many did it get wrong?
- 35.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
- 36.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
- 37.🎯 Diya’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
- 38.🎯 Saanvi’s recycling sorter was tested on 10 new waste photos and got 9 right. What is its accuracy in percent?
- 39.❌ Kabir’s spam spotter was tested on 28 new messages and got 27 right. How many did it get wrong?
- 40.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
Answer key
- correct ÷ total × 100
- set aside test photos
- 32
- to see if it learned
- 104
- paper and examples
- 18
- pick a question to solve
- 104
- 30
- 144
- collect fruit photos
- split train and test
- 144
- 50
- 78
- tag each photo by type
- 7
- 30
- collect fruit photos
- test on new photos
- more labelled examples
- 128
- try unseen examples
- calculate percent right
- 40
- 10
- 40
- train the model
- 65
- 152
- 5
- 48
- 7
- gather many examples
- 10
- 50
- 90
- 1
- work out the accuracy
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students