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.🎯 Vihaan’s handwriting reader is 50% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
- 2.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
- 3.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
- 4.📋 Planning an AI project: which comes first — label each example or set aside test photos? (a) label each example (b) set aside test photos
- 5.📦 Arjun collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 6.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 21 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 7.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
- 8.🎯 Ishaan’s fruit sorter was tested on 25 new fruit photos and got 25 right. What is its accuracy in percent?
- 9.📦 Aarav collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 10.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
- 11.📦 Aarav collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 12.🎯 Vihaan’s bird-song app is 90% accurate. If it is tested on 90 new bird songs, how many should it get right?
- 13.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
- 14.📦 Aarav collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 15.🎯 Tara’s leaf identifier is 60% accurate. If it is tested on 80 new leaf photos, how many should it get right?
- 16.📦 Arjun collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 17.🧪 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
- 18.❌ Vihaan’s spam spotter was tested on 15 new messages and got 14 right. How many did it get wrong?
- 19.🎯 Ananya’s spam spotter is 50% accurate. If it is tested on 70 new messages, how many should it get right?
- 20.🎯 Rohan’s fruit sorter is 60% accurate. If it is tested on 90 new fruit photos, how many should it get right?
- 21.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 18 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 22.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
- 23.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
- 24.📦 Ishaan collected 150 labelled messages for a spam spotter 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 collect fruit photos? (a) correct bad labels (b) collect fruit photos
- 26.🎯 Rohan’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
- 27.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
- 28.❌ Diya’s leaf identifier was tested on 48 new leaf photos and got 47 right. How many did it get wrong?
- 29.🎯 Ananya’s handwriting reader was tested on 50 new handwritten letters and got 34 right. What is its accuracy in percent?
- 30.❌ Meera’s fruit sorter was tested on 12 new fruit photos and got 10 right. How many did it get wrong?
- 31.📦 Vihaan collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 32.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
- 33.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 16 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 34.📋 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
- 35.🎯 Diya’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
- 36.📦 Rohan collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 37.📋 Planning an AI project: which comes first — pick a question to solve or set aside test photos? (a) pick a question to solve (b) set aside test photos
- 38.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 21 right and Model B got 18 right. How many percentage points more accurate is Model A?
- 39.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 21 right and Model B got 13 right. How many percentage points more accurate is Model A?
- 40.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
Answer key
- 50
- split train and test
- correct ÷ total × 100
- label each example
- 40
- 28
- label each example
- 100
- 152
- to see if it learned
- 128
- 81
- collect fruit photos
- 120
- 48
- 128
- more labelled examples
- 1
- 35
- 54
- 12
- 5
- paper and examples
- 120
- collect fruit photos
- 100
- correct bad labels
- 1
- 68
- 2
- 136
- correct bad labels
- 8
- work out the accuracy
- 60
- 48
- pick a question to solve
- 12
- 32
- recheck every label
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students