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 handwriting reader models were tested on the same 20 handwritten letters. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
- 2.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
- 3.📋 Planning an AI project: which comes first — gather many examples or correct bad labels? (a) gather many examples (b) correct bad labels
- 4.📦 Diya collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
- 6.🎯 Vihaan’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
- 7.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
- 8.🧪 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
- 9.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
- 10.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 12 right. How many percentage points more accurate is Model A?
- 11.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
- 12.🎯 Tara’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
- 13.🎯 Meera’s leaf identifier is 80% accurate. If it is tested on 70 new leaf photos, how many should it get right?
- 14.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
- 15.🎯 Nisha’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
- 16.📋 Planning an AI project: which comes first — pick a question to solve or work out the accuracy? (a) pick a question to solve (b) work out the accuracy
- 17.❌ Tara’s recycling sorter was tested on 29 new waste photos and got 27 right. How many did it get wrong?
- 18.📦 Arjun collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 19.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
- 20.📋 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
- 21.🎯 Rohan’s fruit sorter was tested on 20 new fruit photos and got 12 right. What is its accuracy in percent?
- 22.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
- 23.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
- 24.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
- 25.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
- 26.❌ Ananya’s spam spotter was tested on 44 new messages and got 36 right. How many did it get wrong?
- 27.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 28.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
- 29.🧪 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
- 30.🎯 Nisha’s leaf identifier was tested on 10 new leaf photos and got 10 right. What is its accuracy in percent?
- 31.🎯 Ananya’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
- 32.📦 Saanvi collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 33.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
- 34.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
- 35.📦 Ishaan collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 36.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
- 37.❌ Nisha’s handwriting reader was tested on 38 new handwritten letters and got 36 right. How many did it get wrong?
- 38.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
- 39.🎯 Arjun’s fruit sorter is 80% accurate. If it is tested on 70 new fruit photos, how many should it get right?
- 40.📦 Aarav collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
Answer key
- 5
- correct bad labels
- gather many examples
- 80
- more labelled examples
- 100
- train the model
- paper and examples
- set aside test photos
- 30
- set aside test photos
- 100
- 56
- choose what to sort
- 90
- pick a question to solve
- 2
- 128
- recheck every label
- pick a question to solve
- 60
- choose what to sort
- tag each photo by type
- collect fruit photos
- gather many examples
- 8
- work out the accuracy
- correct ÷ total × 100
- to see if it learned
- 100
- 100
- 32
- gather many examples
- 10
- 128
- 4
- 2
- calculate percent right
- 56
- 48
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students