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.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
- 2.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
- 3.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
- 4.🎯 Meera’s leaf identifier was tested on 50 new leaf photos and got 37 right. What is its accuracy in percent?
- 5.🎯 Meera’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
- 6.📦 Diya collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 7.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
- 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
- 9.📦 Tara collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 10.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 11.🎯 Saanvi’s handwriting reader is 90% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
- 12.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
- 13.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
- 14.❌ Meera’s leaf identifier was tested on 46 new leaf photos and got 37 right. How many did it get wrong?
- 15.📋 Planning an AI project: which comes first — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
- 16.🎯 Vihaan’s leaf identifier is 50% accurate. If it is tested on 40 new leaf photos, how many should it get right?
- 17.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
- 18.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
- 19.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
- 20.❌ Arjun’s leaf identifier was tested on 31 new leaf photos and got 25 right. How many did it get wrong?
- 21.📦 Meera collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 22.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
- 23.❌ Aarav’s recycling sorter was tested on 40 new waste photos and got 31 right. How many did it get wrong?
- 24.❌ Meera’s leaf identifier was tested on 46 new leaf photos and got 41 right. How many did it get wrong?
- 25.🎯 Meera’s handwriting reader was tested on 20 new handwritten letters and got 14 right. What is its accuracy in percent?
- 26.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples
- 27.📦 Nisha collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 28.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
- 29.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
- 30.🎯 Diya’s handwriting reader is 80% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
- 31.❌ Aarav’s bird-song app was tested on 41 new bird songs and got 33 right. How many did it get wrong?
- 32.🎯 Tara’s bird-song app is 90% accurate. If it is tested on 70 new bird songs, how many should it get right?
- 33.📦 Nisha collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 34.📦 Tara collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 35.🧪 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
- 36.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
- 37.📋 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
- 38.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
- 39.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
- 40.📦 Ananya collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
Answer key
- to see if it learned
- set aside test photos
- correct bad labels
- 74
- 80
- 64
- split train and test
- more labelled examples
- 88
- work out the accuracy
- 9
- split train and test
- let it learn patterns
- 9
- tag each photo by type
- 20
- recheck every label
- train the model
- correct ÷ total × 100
- 6
- 120
- set aside test photos
- 9
- 5
- 70
- gather many examples
- 56
- pick a question to solve
- pick a question to solve
- 64
- 8
- 63
- 96
- 136
- paper and examples
- split train and test
- work out the accuracy
- calculate percent right
- test on new photos
- 40
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students