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.❌ Meera’s fruit sorter was tested on 36 new fruit photos and got 27 right. How many did it get wrong?
- 2.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to see if it learned (d) to save paper
- 3.🎯 Tara’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
- 4.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
- 5.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
- 6.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
- 7.❌ Vihaan’s handwriting reader was tested on 16 new handwritten letters and got 13 right. How many did it get wrong?
- 8.🎯 Kabir’s bird-song app was tested on 20 new bird songs and got 13 right. What is its accuracy in percent?
- 9.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) a louder speaker (d) more labelled examples
- 10.📋 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
- 11.❌ Kabir’s handwriting reader was tested on 45 new handwritten letters and got 44 right. How many did it get wrong?
- 12.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
- 13.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
- 14.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
- 15.🎯 Saanvi’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
- 16.📋 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
- 17.🎯 Arjun’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
- 18.🎯 Arjun’s handwriting reader was tested on 25 new handwritten letters and got 21 right. What is its accuracy in percent?
- 19.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 47 right and Model B got 42 right. How many percentage points more accurate is Model A?
- 20.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
- 21.📦 Saanvi collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 22.📦 Rohan collected 90 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 — choose what to sort or let it learn patterns? (a) choose what to sort (b) let it learn patterns
- 24.🎯 Ananya’s handwriting reader is 90% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
- 25.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
- 26.🎯 Vihaan’s handwriting reader is 90% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
- 27.❌ Kabir’s handwriting reader was tested on 42 new handwritten letters and got 35 right. How many did it get wrong?
- 28.📦 Saanvi collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 29.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
- 30.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
- 31.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
- 32.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 17 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 33.🎯 Tara’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
- 34.🎯 Meera’s fruit sorter was tested on 20 new fruit photos and got 10 right. What is its accuracy in percent?
- 35.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
- 36.🎯 Rohan’s fruit sorter was tested on 10 new fruit photos and got 8 right. What is its accuracy in percent?
- 37.📦 Meera collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 38.📦 Diya collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 39.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
- 40.🎯 Kabir’s leaf identifier was tested on 25 new leaf photos and got 13 right. What is its accuracy in percent?
Answer key
- 9
- to see if it learned
- 60
- let it learn patterns
- paper and examples
- recheck every label
- 3
- 65
- more labelled examples
- work out the accuracy
- 1
- 10
- correct bad labels
- correct bad labels
- 60
- pick a question to solve
- 100
- 84
- 10
- label each example
- 32
- 72
- choose what to sort
- 27
- correct ÷ total × 100
- 27
- 7
- 40
- set aside test photos
- try unseen examples
- try unseen examples
- 10
- 50
- 50
- train the model
- 80
- 96
- 40
- choose what to sort
- 52
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students