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.📋 Planning an AI project: which comes first — gather many examples or correct bad labels? (a) gather many examples (b) correct bad labels
- 2.🎯 Saanvi’s fruit sorter is 50% accurate. If it is tested on 80 new fruit photos, how many should it get right?
- 3.🎯 Ananya’s handwriting reader is 60% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
- 4.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to save paper (d) to make it bigger
- 5.📋 Planning an AI project: which comes first — tag each photo by type or set aside test photos? (a) tag each photo by type (b) set aside test photos
- 6.🎯 Diya’s bird-song app was tested on 25 new bird songs and got 25 right. What is its accuracy in percent?
- 7.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 8.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) total − correct (d) correct + total
- 9.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 11 right and Model B got 10 right. How many percentage points more accurate is Model A?
- 10.🎯 Diya’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
- 11.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
- 12.🎯 Diya’s spam spotter is 90% accurate. If it is tested on 10 new messages, how many should it get right?
- 13.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 38 right and Model B got 35 right. How many percentage points more accurate is Model A?
- 14.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 15.🧪 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
- 16.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
- 17.📋 Planning an AI project: which comes first — recheck every label or try unseen examples? (a) recheck every label (b) try unseen examples
- 18.🎯 Meera’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
- 19.📦 Meera collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 20.🎯 Meera’s fruit sorter was tested on 25 new fruit photos and got 25 right. What is its accuracy in percent?
- 21.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
- 22.📋 Planning an AI project: which comes first — gather many examples or pick a question to solve? (a) gather many examples (b) pick a question to solve
- 23.📋 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
- 24.📦 Nisha collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 25.📋 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
- 26.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
- 27.📋 Planning an AI project: which comes first — choose what to sort or correct bad labels? (a) choose what to sort (b) correct bad labels
- 28.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
- 29.❌ Diya’s fruit sorter was tested on 43 new fruit photos and got 38 right. How many did it get wrong?
- 30.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
- 31.🎯 Rohan’s recycling sorter was tested on 25 new waste photos and got 15 right. What is its accuracy in percent?
- 32.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
- 33.📋 Planning an AI project: which comes first — work out the accuracy or choose what to sort? (a) work out the accuracy (b) choose what to sort
- 34.📋 Planning an AI project: which comes first — pick a question to solve or let it learn patterns? (a) pick a question to solve (b) let it learn patterns
- 35.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
- 36.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 43 right and Model B got 28 right. How many percentage points more accurate is Model A?
- 37.🎯 Kabir’s fruit sorter is 50% accurate. If it is tested on 80 new fruit photos, how many should it get right?
- 38.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
- 39.🎯 Rohan’s leaf identifier was tested on 25 new leaf photos and got 15 right. What is its accuracy in percent?
- 40.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
Answer key
- gather many examples
- 40
- 30
- to see if it learned
- tag each photo by type
- 100
- 10
- correct ÷ total × 100
- 5
- 75
- try unseen examples
- 9
- 6
- calculate percent right
- paper and examples
- split train and test
- recheck every label
- 60
- 56
- 100
- correct bad labels
- pick a question to solve
- pick a question to solve
- 120
- pick a question to solve
- tag each photo by type
- choose what to sort
- try unseen examples
- 5
- correct bad labels
- 60
- let it learn patterns
- choose what to sort
- pick a question to solve
- label each example
- 30
- 40
- collect fruit photos
- 60
- work out the accuracy
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students