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.🧪 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
- 2.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
- 3.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
- 4.🎯 Nisha’s handwriting reader was tested on 20 new handwritten letters and got 11 right. What is its accuracy in percent?
- 5.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
- 6.🎯 Diya’s spam spotter is 60% accurate. If it is tested on 10 new messages, how many should it get right?
- 7.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
- 8.📦 Vihaan collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 9.📦 Vihaan collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 10.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) total − correct (d) correct + total
- 11.🎯 Ishaan’s handwriting reader is 70% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
- 12.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
- 13.📦 Meera collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 14.🎯 Meera’s fruit sorter was tested on 50 new fruit photos and got 34 right. What is its accuracy in percent?
- 15.📋 Planning an AI project: which comes first — recheck every label or calculate percent right? (a) recheck every label (b) calculate percent right
- 16.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
- 17.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to make it bigger (d) to save paper
- 18.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 19.📋 Planning an AI project: which comes first — choose what to sort or tag each photo by type? (a) choose what to sort (b) tag each photo by type
- 20.🎯 Diya’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
- 21.🎯 Tara’s leaf identifier is 70% accurate. If it is tested on 10 new leaf photos, how many should it get right?
- 22.📋 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
- 23.🎯 Ishaan’s fruit sorter is 70% accurate. If it is tested on 30 new fruit photos, how many should it get right?
- 24.📦 Tara collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 25.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
- 26.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
- 27.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 17 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 28.📋 Planning an AI project: which comes first — fix it and test again or recheck every label? (a) fix it and test again (b) recheck every label
- 29.🎯 Meera’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
- 30.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
- 31.📦 Arjun collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 32.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
- 33.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
- 34.🎯 Meera’s handwriting reader is 80% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
- 35.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
- 36.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
- 37.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
- 38.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
- 39.⚖️ Two spam spotter models were tested on the same 10 messages. 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 — let it learn patterns or correct bad labels? (a) let it learn patterns (b) correct bad labels
Answer key
- more labelled examples
- collect fruit photos
- 8
- 55
- choose what to sort
- 6
- split train and test
- 128
- 152
- correct ÷ total × 100
- 56
- collect fruit photos
- 96
- 68
- recheck every label
- 12
- to see if it learned
- work out the accuracy
- choose what to sort
- 60
- 7
- split train and test
- 21
- 88
- 10
- calculate percent right
- 8
- recheck every label
- 60
- calculate percent right
- 40
- try unseen examples
- correct bad labels
- 64
- label each example
- let it learn patterns
- train the model
- choose what to sort
- 40
- correct bad labels
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students