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 — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
- 2.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
- 3.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
- 4.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
- 5.🧪 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 make it bigger (d) to save paper
- 6.🎯 Tara’s handwriting reader was tested on 25 new handwritten letters and got 16 right. What is its accuracy in percent?
- 7.❌ Meera’s recycling sorter was tested on 20 new waste photos and got 15 right. How many did it get wrong?
- 8.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 19 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 9.🎯 Vihaan’s bird-song app was tested on 20 new bird songs and got 12 right. What is its accuracy in percent?
- 10.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
- 11.🎯 Ishaan’s spam spotter is 50% accurate. If it is tested on 50 new messages, how many should it get right?
- 12.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
- 13.📦 Nisha collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 14.🎯 Saanvi’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
- 15.❌ Diya’s leaf identifier was tested on 40 new leaf photos and got 39 right. How many did it get wrong?
- 16.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
- 17.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
- 18.🎯 Vihaan’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
- 19.❌ Meera’s leaf identifier was tested on 26 new leaf photos and got 22 right. How many did it get wrong?
- 20.❌ Vihaan’s spam spotter was tested on 18 new messages and got 13 right. How many did it get wrong?
- 21.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
- 22.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) a secret password (d) only a big robot
- 23.❌ Ishaan’s fruit sorter was tested on 43 new fruit photos and got 39 right. How many did it get wrong?
- 24.🎯 Kabir’s handwriting reader was tested on 20 new handwritten letters and got 19 right. What is its accuracy in percent?
- 25.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
- 26.❌ Arjun’s bird-song app was tested on 27 new bird songs and got 18 right. How many did it get wrong?
- 27.❌ Saanvi’s spam spotter was tested on 23 new messages and got 21 right. How many did it get wrong?
- 28.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
- 29.🎯 Vihaan’s leaf identifier was tested on 10 new leaf photos and got 7 right. What is its accuracy in percent?
- 30.📦 Diya collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 31.❌ Meera’s leaf identifier was tested on 23 new leaf photos and got 21 right. How many did it get wrong?
- 32.📦 Tara collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 33.🎯 Diya’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
- 34.🎯 Nisha’s recycling sorter was tested on 50 new waste photos and got 50 right. What is its accuracy in percent?
- 35.📋 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
- 36.🎯 Vihaan’s handwriting reader is 80% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
- 37.🎯 Arjun’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
- 38.🎯 Kabir’s bird-song app is 90% accurate. If it is tested on 60 new bird songs, how many should it get right?
- 39.🎯 Nisha’s recycling sorter was tested on 25 new waste photos and got 14 right. What is its accuracy in percent?
- 40.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
Answer key
- recheck every label
- correct ÷ total × 100
- work out the accuracy
- gather many examples
- to see if it learned
- 64
- 5
- 16
- 60
- 16
- 25
- try unseen examples
- 152
- 75
- 1
- 10
- collect fruit photos
- 80
- 4
- 5
- label each example
- paper and examples
- 4
- 95
- choose what to sort
- 9
- 2
- set aside test photos
- 70
- 112
- 2
- 152
- 100
- 100
- test on new photos
- 72
- 50
- 54
- 56
- let it learn patterns
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students