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 4 new messages and got 2 right. What is its accuracy in percent?
- 2.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
- 3.❌ Vihaan’s handwriting reader was tested on 49 new handwritten letters and got 42 right. How many did it get wrong?
- 4.🎯 Rohan’s spam spotter was tested on 50 new messages and got 38 right. What is its accuracy in percent?
- 5.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
- 6.🎯 Meera’s handwriting reader was tested on 50 new handwritten letters and got 27 right. What is its accuracy in percent?
- 7.📦 Ananya collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 8.❌ Aarav’s fruit sorter was tested on 20 new fruit photos and got 15 right. How many did it get wrong?
- 9.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
- 10.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 32 right and Model B got 29 right. How many percentage points more accurate is Model A?
- 11.❌ Ishaan’s bird-song app was tested on 33 new bird songs and got 24 right. How many did it get wrong?
- 12.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
- 13.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
- 14.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
- 15.📦 Tara collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 16.📦 Nisha collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 17.📦 Diya collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 18.📦 Ananya collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 19.❌ Ananya’s fruit sorter was tested on 23 new fruit photos and got 19 right. How many did it get wrong?
- 20.❌ Ishaan’s handwriting reader was tested on 24 new handwritten letters and got 18 right. How many did it get wrong?
- 21.🧪 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
- 22.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
- 23.🎯 Diya’s handwriting reader is 90% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
- 24.🎯 Diya’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
- 25.📦 Rohan collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 26.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
- 27.🎯 Saanvi’s recycling sorter was tested on 25 new waste photos and got 18 right. What is its accuracy in percent?
- 28.❌ Meera’s handwriting reader was tested on 14 new handwritten letters and got 10 right. How many did it get wrong?
- 29.🎯 Ishaan’s fruit sorter is 70% accurate. If it is tested on 20 new fruit photos, how many should it get right?
- 30.❌ Saanvi’s spam spotter was tested on 34 new messages and got 29 right. How many did it get wrong?
- 31.📋 Planning an AI project: which comes first — tag each photo by type or calculate percent right? (a) tag each photo by type (b) calculate percent right
- 32.🎯 Aarav’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
- 33.🎯 Diya’s recycling sorter is 60% accurate. If it is tested on 10 new waste photos, how many should it get right?
- 34.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 35.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
- 36.❌ Saanvi’s handwriting reader was tested on 39 new handwritten letters and got 35 right. How many did it get wrong?
- 37.📦 Aarav collected 180 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 — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
- 39.📋 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
- 40.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
Answer key
- 50
- to see if it learned
- 7
- 76
- set aside test photos
- 54
- 72
- 5
- train the model
- 6
- 9
- correct bad labels
- split train and test
- collect fruit photos
- 32
- 96
- 88
- 64
- 4
- 6
- more labelled examples
- correct ÷ total × 100
- 72
- 75
- 96
- paper and examples
- 72
- 4
- 14
- 5
- tag each photo by type
- 100
- 6
- 10
- recheck every label
- 4
- 144
- test on new photos
- calculate percent right
- test on new photos
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students