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.🎯 Arjun’s fruit sorter is 80% accurate. If it is tested on 60 new fruit photos, how many should it get right?
- 2.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
- 3.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 19 right. How many percentage points more accurate is Model A?
- 4.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to make it faster (d) to save paper
- 5.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
- 6.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
- 7.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
- 8.🎯 Ananya’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
- 9.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
- 10.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
- 11.🎯 Rohan’s leaf identifier was tested on 20 new leaf photos and got 14 right. What is its accuracy in percent?
- 12.📋 Planning an AI project: which comes first — recheck every label or calculate percent right? (a) recheck every label (b) calculate percent right
- 13.📦 Diya collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 14.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
- 15.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 21 right and Model B got 16 right. How many percentage points more accurate is Model A?
- 16.🧪 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
- 17.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
- 18.🎯 Rohan’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
- 19.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
- 20.📋 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
- 21.🎯 Meera’s handwriting reader was tested on 50 new handwritten letters and got 33 right. What is its accuracy in percent?
- 22.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
- 23.📦 Meera collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 24.🎯 Saanvi’s leaf identifier was tested on 25 new leaf photos and got 14 right. What is its accuracy in percent?
- 25.📦 Rohan collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 26.❌ Vihaan’s fruit sorter was tested on 37 new fruit photos and got 31 right. How many did it get wrong?
- 27.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
- 28.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 29.📋 Planning an AI project: which comes first — fix it and test again or tag each photo by type? (a) fix it and test again (b) tag each photo by type
- 30.🎯 Vihaan’s fruit sorter is 80% accurate. If it is tested on 100 new fruit photos, how many should it get right?
- 31.📦 Rohan collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 32.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 33.🎯 Saanvi’s leaf identifier is 50% accurate. If it is tested on 70 new leaf photos, how many should it get right?
- 34.🎯 Arjun’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
- 35.🎯 Meera’s fruit sorter is 80% accurate. If it is tested on 30 new fruit photos, how many should it get right?
- 36.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
- 37.📦 Tara collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 38.🎯 Rohan’s recycling sorter was tested on 20 new waste photos and got 15 right. What is its accuracy in percent?
- 39.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
- 40.📋 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
Answer key
- 48
- 10
- 24
- to see if it learned
- train the model
- choose what to sort
- train the model
- 80
- split train and test
- more labelled examples
- 70
- recheck every label
- 88
- calculate percent right
- 20
- paper and examples
- correct bad labels
- 50
- gather many examples
- test on new photos
- 66
- test on new photos
- 56
- 56
- 48
- 6
- try unseen examples
- 20
- tag each photo by type
- 80
- 128
- 20
- 35
- 75
- 24
- 5
- 128
- 75
- work out the accuracy
- test on new photos
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students