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.📦 Ananya collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 2.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
- 3.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
- 4.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 46 right and Model B got 45 right. How many percentage points more accurate is Model A?
- 5.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
- 6.📦 Saanvi collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 7.🎯 Rohan’s leaf identifier is 80% accurate. If it is tested on 100 new leaf photos, how many should it get right?
- 8.🎯 Tara’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 — test on new photos or train the model? (a) test on new photos (b) train the model
- 10.🎯 Nisha’s leaf identifier is 60% accurate. If it is tested on 60 new leaf photos, how many should it get right?
- 11.📋 Planning an AI project: which comes first — choose what to sort or correct bad labels? (a) choose what to sort (b) correct bad labels
- 12.📦 Diya collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 13.📦 Ananya collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 14.🎯 Meera’s handwriting reader was tested on 50 new handwritten letters and got 50 right. What is its accuracy in percent?
- 15.❌ Ishaan’s bird-song app was tested on 38 new bird songs and got 29 right. How many did it get wrong?
- 16.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
- 17.❌ Diya’s recycling sorter was tested on 39 new waste photos and got 30 right. How many did it get wrong?
- 18.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 45 right and Model B got 29 right. How many percentage points more accurate is Model A?
- 19.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
- 20.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 47 right and Model B got 29 right. How many percentage points more accurate is Model A?
- 21.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 22.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
- 23.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
- 24.📦 Meera collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 25.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
- 26.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
- 27.🎯 Meera’s leaf identifier is 80% accurate. If it is tested on 90 new leaf photos, how many should it get right?
- 28.🎯 Tara’s spam spotter was tested on 25 new messages and got 14 right. What is its accuracy in percent?
- 29.📋 Planning an AI project: which comes first — label each example or train the model? (a) label each example (b) train the model
- 30.📦 Rohan collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 31.❌ Meera’s handwriting reader was tested on 28 new handwritten letters and got 21 right. How many did it get wrong?
- 32.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
- 33.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
- 34.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
- 35.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
- 36.🧪 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
- 37.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
- 38.📋 Planning an AI project: which comes first — choose what to sort or let it learn patterns? (a) choose what to sort (b) let it learn patterns
- 39.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
- 40.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
Answer key
- 112
- set aside test photos
- pick a question to solve
- 2
- try unseen examples
- 128
- 80
- 80
- train the model
- 36
- choose what to sort
- 88
- 104
- 100
- 9
- train the model
- 9
- 32
- paper and examples
- 36
- work out the accuracy
- 12
- correct bad labels
- 88
- correct ÷ total × 100
- split train and test
- 72
- 56
- label each example
- 152
- 7
- tag each photo by type
- test on new photos
- to see if it learned
- train the model
- more labelled examples
- 10
- choose what to sort
- choose what to sort
- choose what to sort
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students