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 × 2 (c) total − correct (d) correct ÷ total × 100
- 2.🎯 Tara’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
- 3.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
- 4.🎯 Meera’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
- 5.🎯 Arjun’s recycling sorter was tested on 10 new waste photos and got 6 right. What is its accuracy in percent?
- 6.🧪 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
- 7.🎯 Saanvi’s spam spotter is 60% accurate. If it is tested on 90 new messages, how many should it get right?
- 8.🎯 Aarav’s spam spotter is 80% accurate. If it is tested on 90 new messages, how many should it get right?
- 9.🎯 Arjun’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
- 10.🎯 Tara’s leaf identifier is 70% accurate. If it is tested on 70 new leaf photos, how many should it get right?
- 11.🎯 Vihaan’s leaf identifier was tested on 25 new leaf photos and got 22 right. What is its accuracy in percent?
- 12.❌ Rohan’s fruit sorter was tested on 35 new fruit photos and got 30 right. How many did it get wrong?
- 13.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
- 14.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 16 right and Model B got 12 right. How many percentage points more accurate is Model A?
- 15.📦 Ananya collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 16.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
- 17.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
- 18.📋 Planning an AI project: which comes first — tag each photo by type or split train and test? (a) tag each photo by type (b) split train and test
- 19.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 15 right and Model B got 12 right. How many percentage points more accurate is Model A?
- 20.📋 Planning an AI project: which comes first — collect fruit photos or tag each photo by type? (a) collect fruit photos (b) tag each photo by type
- 21.❌ Meera’s bird-song app was tested on 38 new bird songs and got 34 right. How many did it get wrong?
- 22.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
- 23.❌ Aarav’s leaf identifier was tested on 19 new leaf photos and got 14 right. How many did it get wrong?
- 24.🎯 Ishaan’s leaf identifier is 60% accurate. If it is tested on 10 new leaf photos, how many should it get right?
- 25.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
- 26.🎯 Kabir’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
- 27.📋 Planning an AI project: which comes first — choose what to sort or test on new photos? (a) choose what to sort (b) test on new photos
- 28.📦 Rohan collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 29.🎯 Kabir’s fruit sorter is 50% accurate. If it is tested on 80 new fruit photos, how many should it get right?
- 30.🎯 Kabir’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
- 31.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
- 32.📦 Ananya collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 33.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
- 34.📋 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
- 35.🧪 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
- 36.❌ Ishaan’s leaf identifier was tested on 15 new leaf photos and got 14 right. How many did it get wrong?
- 37.🎯 Aarav’s spam spotter was tested on 50 new messages and got 30 right. What is its accuracy in percent?
- 38.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
- 39.📦 Meera collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 40.🎯 Tara’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
Answer key
- correct ÷ total × 100
- 75
- correct bad labels
- 100
- 60
- paper and examples
- 54
- 72
- 50
- 49
- 88
- 5
- pick a question to solve
- 20
- 128
- 10
- to see if it learned
- tag each photo by type
- 15
- collect fruit photos
- 4
- try unseen examples
- 5
- 6
- choose what to sort
- 75
- choose what to sort
- 48
- 40
- 50
- label each example
- 64
- train the model
- calculate percent right
- more labelled examples
- 1
- 60
- work out the accuracy
- 48
- 50
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students