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) correct ÷ total × 100 (d) total − correct
- 2.🎯 Tara’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
- 3.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
- 4.🎯 Diya’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
- 5.📦 Meera collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 6.🎯 Aarav’s fruit sorter is 70% accurate. If it is tested on 70 new fruit photos, how many should it get right?
- 7.❌ Ishaan’s spam spotter was tested on 50 new messages and got 42 right. How many did it get wrong?
- 8.📦 Ananya collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 9.📦 Ishaan collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 10.📋 Planning an AI project: which comes first — choose what to sort or fix it and test again? (a) choose what to sort (b) fix it and test again
- 11.🎯 Aarav’s handwriting reader was tested on 25 new handwritten letters and got 23 right. What is its accuracy in percent?
- 12.🎯 Tara’s handwriting reader is 50% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
- 13.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
- 14.📋 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
- 15.📋 Planning an AI project: which comes first — pick a question to solve or calculate percent right? (a) pick a question to solve (b) calculate percent right
- 16.🎯 Meera’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
- 17.🎯 Rohan’s bird-song app is 60% accurate. If it is tested on 60 new bird songs, how many should it get right?
- 18.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
- 19.🎯 Rohan’s spam spotter is 50% accurate. If it is tested on 50 new messages, how many should it get right?
- 20.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
- 21.📋 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
- 22.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 18 right and Model B got 13 right. How many percentage points more accurate is Model A?
- 23.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 18 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 24.🎯 Tara’s spam spotter is 50% accurate. If it is tested on 30 new messages, how many should it get right?
- 25.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 26.🎯 Tara’s recycling sorter is 60% accurate. If it is tested on 80 new waste photos, how many should it get right?
- 27.🎯 Vihaan’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
- 28.📦 Vihaan collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 29.🎯 Aarav’s recycling sorter was tested on 10 new waste photos and got 6 right. What is its accuracy in percent?
- 30.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 24 right and Model B got 22 right. How many percentage points more accurate is Model A?
- 31.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
- 32.🎯 Kabir’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
- 33.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
- 34.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
- 35.❌ Kabir’s recycling sorter was tested on 30 new waste photos and got 27 right. How many did it get wrong?
- 36.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
- 37.📋 Planning an AI project: which comes first — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type
- 38.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
- 39.📋 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
- 40.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
Answer key
- correct ÷ total × 100
- 100
- 4
- 60
- 32
- 49
- 8
- 64
- 64
- choose what to sort
- 92
- 10
- train the model
- tag each photo by type
- pick a question to solve
- 100
- 36
- calculate percent right
- 25
- try unseen examples
- pick a question to solve
- 25
- 20
- 15
- 20
- 48
- 50
- 40
- 60
- 8
- paper and examples
- 60
- to see if it learned
- test on new photos
- 3
- train the model
- tag each photo by type
- gather many examples
- work out the accuracy
- test on new photos
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students