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.🎯 Kabir’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
- 2.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
- 3.🎯 Tara’s leaf identifier is 60% accurate. If it is tested on 50 new leaf photos, how many should it get right?
- 4.📦 Kabir collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 5.🎯 Tara’s spam spotter was tested on 50 new messages and got 37 right. What is its accuracy in percent?
- 6.🎯 Saanvi’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
- 7.❌ Saanvi’s fruit sorter was tested on 25 new fruit photos and got 19 right. How many did it get wrong?
- 8.📦 Kabir collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 9.❌ Tara’s fruit sorter was tested on 18 new fruit photos and got 11 right. How many did it get wrong?
- 10.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
- 11.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
- 12.❌ Vihaan’s spam spotter was tested on 28 new messages and got 19 right. How many did it get wrong?
- 13.❌ Meera’s fruit sorter was tested on 22 new fruit photos and got 19 right. How many did it get wrong?
- 14.🎯 Meera’s handwriting reader was tested on 20 new handwritten letters and got 16 right. What is its accuracy in percent?
- 15.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
- 16.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
- 17.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
- 18.📋 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
- 19.🎯 Saanvi’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
- 20.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
- 21.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
- 22.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 23.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
- 24.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 25.📦 Meera collected 190 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 — tag each photo by type or train the model? (a) tag each photo by type (b) train the model
- 27.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
- 28.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 29.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 23 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 30.🧪 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
- 31.📋 Planning an AI project: which comes first — set aside test photos or pick a question to solve? (a) set aside test photos (b) pick a question to solve
- 32.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
- 33.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
- 34.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
- 35.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
- 36.🎯 Kabir’s leaf identifier was tested on 20 new leaf photos and got 14 right. What is its accuracy in percent?
- 37.📦 Diya collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 38.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
- 39.❌ Saanvi’s handwriting reader was tested on 18 new handwritten letters and got 12 right. How many did it get wrong?
- 40.📦 Diya collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
Answer key
- 100
- correct ÷ total × 100
- 30
- 40
- 74
- 100
- 6
- 40
- 7
- test on new photos
- set aside test photos
- 9
- 3
- 80
- label each example
- label each example
- test on new photos
- work out the accuracy
- 75
- collect fruit photos
- label each example
- 25
- more labelled examples
- calculate percent right
- 152
- tag each photo by type
- recheck every label
- 10
- 36
- to see if it learned
- pick a question to solve
- paper and examples
- recheck every label
- recheck every label
- 30
- 70
- 96
- recheck every label
- 6
- 56
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students