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.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 17 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 2.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
- 3.📋 Planning an AI project: which comes first — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
- 4.🎯 Ananya’s leaf identifier was tested on 50 new leaf photos and got 28 right. What is its accuracy in percent?
- 5.❌ Ananya’s spam spotter was tested on 41 new messages and got 35 right. How many did it get wrong?
- 6.🎯 Aarav’s handwriting reader is 50% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
- 7.❌ Meera’s leaf identifier was tested on 37 new leaf photos and got 28 right. How many did it get wrong?
- 8.📋 Planning an AI project: which comes first — train the model or pick a question to solve? (a) train the model (b) pick a question to solve
- 9.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
- 10.📦 Aarav collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 11.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
- 12.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
- 13.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 14.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
- 15.🎯 Tara’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
- 16.❌ Aarav’s bird-song app was tested on 49 new bird songs and got 47 right. How many did it get wrong?
- 17.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
- 18.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
- 19.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
- 20.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
- 21.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 46 right. How many percentage points more accurate is Model A?
- 22.🎯 Vihaan’s bird-song app was tested on 25 new bird songs and got 17 right. What is its accuracy in percent?
- 23.❌ Rohan’s spam spotter was tested on 42 new messages and got 39 right. How many did it get wrong?
- 24.🎯 Meera’s handwriting reader is 60% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
- 25.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
- 26.📦 Saanvi collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 27.📋 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
- 28.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 17 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 29.📦 Arjun collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 30.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to see if it learned (d) to save paper
- 31.🎯 Rohan’s handwriting reader is 60% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
- 32.🎯 Nisha’s handwriting reader is 70% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
- 33.📦 Ishaan collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 34.❌ Nisha’s leaf identifier was tested on 26 new leaf photos and got 18 right. How many did it get wrong?
- 35.❌ Meera’s leaf identifier was tested on 39 new leaf photos and got 37 right. How many did it get wrong?
- 36.📋 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
- 37.📋 Planning an AI project: which comes first — tag each photo by type or collect fruit photos? (a) tag each photo by type (b) collect fruit photos
- 38.📋 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
- 39.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 40.📋 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
Answer key
- 12
- correct ÷ total × 100
- choose what to sort
- 56
- 6
- 10
- 9
- pick a question to solve
- pick a question to solve
- 128
- label each example
- paper and examples
- 40
- split train and test
- 60
- 2
- more labelled examples
- train the model
- recheck every label
- pick a question to solve
- 8
- 68
- 3
- 30
- split train and test
- 104
- test on new photos
- 15
- 48
- to see if it learned
- 60
- 42
- 40
- 8
- 2
- let it learn patterns
- collect fruit photos
- work out the accuracy
- 5
- test on new photos
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students