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 handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
- 2.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
- 3.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 4.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 18 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) fewer examples (d) a louder speaker
- 6.🎯 Diya’s recycling sorter was tested on 20 new waste photos and got 13 right. What is its accuracy in percent?
- 7.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
- 8.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
- 9.📋 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
- 10.🎯 Ishaan’s spam spotter is 80% accurate. If it is tested on 10 new messages, how many should it get right?
- 11.📋 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
- 12.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 13 right and Model B got 10 right. How many percentage points more accurate is Model A?
- 13.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
- 14.📦 Diya collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 15.📦 Aarav collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 16.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) a secret password (d) only a big robot
- 17.🎯 Saanvi’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
- 18.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
- 19.🎯 Meera’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
- 20.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
- 21.❌ Kabir’s bird-song app was tested on 20 new bird songs and got 13 right. How many did it get wrong?
- 22.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
- 23.🎯 Kabir’s fruit sorter is 60% accurate. If it is tested on 80 new fruit photos, how many should it get right?
- 24.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
- 25.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
- 26.🎯 Saanvi’s fruit sorter is 90% accurate. If it is tested on 10 new fruit photos, how many should it get right?
- 27.❌ Arjun’s bird-song app was tested on 25 new bird songs and got 18 right. How many did it get wrong?
- 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.🎯 Ananya’s handwriting reader was tested on 25 new handwritten letters and got 17 right. What is its accuracy in percent?
- 30.🎯 Aarav’s handwriting reader was tested on 25 new handwritten letters and got 18 right. What is its accuracy in percent?
- 31.🎯 Ishaan’s leaf identifier is 80% accurate. If it is tested on 90 new leaf photos, how many should it get right?
- 32.🎯 Diya’s bird-song app is 70% accurate. If it is tested on 80 new bird songs, how many should it get right?
- 33.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
- 34.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
- 35.📦 Tara collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 36.📋 Planning an AI project: which comes first — pick a question to solve or set aside test photos? (a) pick a question to solve (b) set aside test photos
- 37.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 48 right and Model B got 47 right. How many percentage points more accurate is Model A?
- 38.🎯 Meera’s bird-song app was tested on 50 new bird songs and got 36 right. What is its accuracy in percent?
- 39.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
- 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
- 60
- correct ÷ total × 100
- 40
- 20
- more labelled examples
- 65
- to see if it learned
- correct bad labels
- test on new photos
- 8
- train the model
- 15
- gather many examples
- 72
- 40
- paper and examples
- 100
- correct bad labels
- 50
- gather many examples
- 7
- try unseen examples
- 48
- gather many examples
- let it learn patterns
- 9
- 7
- 10
- 68
- 72
- 72
- 56
- collect fruit photos
- pick a question to solve
- 72
- pick a question to solve
- 2
- 72
- recheck every label
- test on new photos
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students