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.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
- 2.📋 Planning an AI project: which comes first — tag each photo by type or recheck every label? (a) tag each photo by type (b) recheck every label
- 3.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 40 right and Model B got 29 right. How many percentage points more accurate is Model A?
- 4.❌ Rohan’s recycling sorter was tested on 40 new waste photos and got 32 right. How many did it get wrong?
- 5.❌ Diya’s recycling sorter was tested on 22 new waste photos and got 14 right. How many did it get wrong?
- 6.🎯 Meera’s recycling sorter is 60% accurate. If it is tested on 30 new waste photos, how many should it get right?
- 7.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
- 8.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
- 9.📋 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
- 10.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
- 11.❌ Arjun’s recycling sorter was tested on 23 new waste photos and got 17 right. How many did it get wrong?
- 12.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
- 13.📋 Planning an AI project: which comes first — choose what to sort or recheck every label? (a) choose what to sort (b) recheck every label
- 14.🎯 Saanvi’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
- 15.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
- 16.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 17.❌ Rohan’s bird-song app was tested on 43 new bird songs and got 36 right. How many did it get wrong?
- 18.🎯 Ananya’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?
- 19.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
- 20.🎯 Kabir’s fruit sorter was tested on 25 new fruit photos and got 21 right. What is its accuracy in percent?
- 21.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
- 22.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 23.📦 Ananya collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 24.❌ Rohan’s fruit sorter was tested on 36 new fruit photos and got 27 right. How many did it get wrong?
- 25.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
- 26.🎯 Meera’s handwriting reader is 60% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
- 27.📋 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
- 28.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 44 right and Model B got 37 right. How many percentage points more accurate is Model A?
- 29.🎯 Meera’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
- 30.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
- 31.📦 Kabir collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 32.📋 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
- 33.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
- 34.📋 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
- 35.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
- 36.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
- 37.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 38.📦 Rohan collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 39.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
- 40.📋 Planning an AI project: which comes first — pick a question to solve or split train and test? (a) pick a question to solve (b) split train and test
Answer key
- correct ÷ total × 100
- tag each photo by type
- 22
- 8
- 8
- 18
- train the model
- train the model
- test on new photos
- work out the accuracy
- 6
- tag each photo by type
- choose what to sort
- 5
- set aside test photos
- calculate percent right
- 7
- 80
- paper and examples
- 84
- to see if it learned
- 10
- 104
- 9
- try unseen examples
- 6
- correct bad labels
- 14
- 50
- 5
- 144
- train the model
- label each example
- work out the accuracy
- more labelled examples
- set aside test photos
- work out the accuracy
- 96
- pick a question to solve
- pick a question to solve
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students