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 collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 2.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
- 3.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
- 4.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
- 5.🎯 Nisha’s fruit sorter is 70% accurate. If it is tested on 90 new fruit photos, how many should it get right?
- 6.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 50 right and Model B got 28 right. How many percentage points more accurate is Model A?
- 7.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
- 8.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
- 9.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
- 10.🎯 Diya’s bird-song app is 70% accurate. If it is tested on 40 new bird songs, how many should it get right?
- 11.🎯 Arjun’s leaf identifier is 50% accurate. If it is tested on 30 new leaf photos, how many should it get right?
- 12.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 13.❌ Meera’s spam spotter was tested on 36 new messages and got 31 right. How many did it get wrong?
- 14.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a new colour screen (d) a louder speaker
- 15.📦 Meera collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 16.📦 Saanvi collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 17.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
- 18.🎯 Meera’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
- 19.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 21 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 20.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
- 21.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
- 22.📦 Ishaan collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 23.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
- 24.🎯 Vihaan’s handwriting reader was tested on 25 new handwritten letters and got 24 right. What is its accuracy in percent?
- 25.🎯 Aarav’s recycling sorter is 70% accurate. If it is tested on 30 new waste photos, how many should it get right?
- 26.🎯 Aarav’s leaf identifier is 90% accurate. If it is tested on 10 new leaf photos, how many should it get right?
- 27.🎯 Rohan’s bird-song app was tested on 10 new bird songs and got 6 right. What is its accuracy in percent?
- 28.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 43 right and Model B got 29 right. How many percentage points more accurate is Model A?
- 29.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
- 30.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
- 31.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 22 right and Model B got 17 right. How many percentage points more accurate is Model A?
- 32.🎯 Ananya’s recycling sorter was tested on 25 new waste photos and got 24 right. What is its accuracy in percent?
- 33.❌ Vihaan’s spam spotter was tested on 45 new messages and got 44 right. How many did it get wrong?
- 34.🎯 Saanvi’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
- 35.🎯 Ishaan’s recycling sorter was tested on 50 new waste photos and got 29 right. What is its accuracy in percent?
- 36.🎯 Vihaan’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
- 37.🎯 Arjun’s bird-song app is 90% accurate. If it is tested on 40 new bird songs, how many should it get right?
- 38.📋 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
- 39.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
- 40.📋 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
Answer key
- 88
- to see if it learned
- train the model
- test on new photos
- 63
- 44
- train the model
- train the model
- paper and examples
- 28
- 15
- 10
- 5
- more labelled examples
- 64
- 32
- 2
- 50
- 24
- label each example
- test on new photos
- 80
- label each example
- 96
- 21
- 9
- 60
- 28
- correct ÷ total × 100
- train the model
- 20
- 96
- 1
- 60
- 58
- 50
- 36
- test on new photos
- 40
- calculate percent right
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students