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.🎯 Tara’s spam spotter is 50% accurate. If it is tested on 60 new messages, how many should it get right?
- 2.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
- 3.🎯 Ishaan’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
- 4.🎯 Saanvi’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
- 5.🎯 Tara’s bird-song app is 70% accurate. If it is tested on 10 new bird songs, how many should it get right?
- 6.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
- 7.📦 Aarav collected 90 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 8.📋 Planning an AI project: which comes first — pick a question to solve or split train and test? (a) pick a question to solve (b) split train and test
- 9.🧪 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
- 10.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
- 11.🎯 Rohan’s leaf identifier was tested on 50 new leaf photos and got 45 right. What is its accuracy in percent?
- 12.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
- 13.📋 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
- 14.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
- 15.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 11 right. How many percentage points more accurate is Model A?
- 16.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
- 17.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
- 18.📋 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
- 19.📦 Kabir collected 120 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 improve data, retest? (a) work out the accuracy (b) improve data, retest
- 21.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
- 22.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) only a big robot (d) nothing at all
- 23.❌ Nisha’s fruit sorter was tested on 24 new fruit photos and got 22 right. How many did it get wrong?
- 24.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 16 right and Model B got 13 right. How many percentage points more accurate is Model A?
- 25.🎯 Rohan’s spam spotter was tested on 20 new messages and got 13 right. What is its accuracy in percent?
- 26.🎯 Rohan’s handwriting reader is 50% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
- 27.🎯 Kabir’s bird-song app was tested on 20 new bird songs and got 12 right. What is its accuracy in percent?
- 28.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
- 29.🎯 Tara’s spam spotter is 90% accurate. If it is tested on 100 new messages, how many should it get right?
- 30.🎯 Ananya’s fruit sorter was tested on 50 new fruit photos and got 40 right. What is its accuracy in percent?
- 31.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 22 right and Model B got 21 right. How many percentage points more accurate is Model A?
- 32.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
- 33.🎯 Saanvi’s spam spotter was tested on 10 new messages and got 9 right. What is its accuracy in percent?
- 34.🎯 Tara’s handwriting reader was tested on 25 new handwritten letters and got 25 right. What is its accuracy in percent?
- 35.🎯 Diya’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
- 36.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 13 right and Model B got 10 right. How many percentage points more accurate is Model A?
- 37.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
- 38.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
- 39.❌ Aarav’s leaf identifier was tested on 17 new leaf photos and got 10 right. How many did it get wrong?
- 40.🎯 Saanvi’s spam spotter is 70% accurate. If it is tested on 60 new messages, how many should it get right?
Answer key
- 30
- label each example
- 25
- 60
- 7
- set aside test photos
- 72
- pick a question to solve
- to see if it learned
- train the model
- 90
- more labelled examples
- set aside test photos
- collect fruit photos
- 45
- choose what to sort
- collect fruit photos
- calculate percent right
- 96
- work out the accuracy
- correct ÷ total × 100
- paper and examples
- 2
- 15
- 65
- 15
- 60
- train the model
- 90
- 80
- 4
- recheck every label
- 90
- 100
- 100
- 15
- set aside test photos
- pick a question to solve
- 7
- 42
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students