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.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to save paper (d) to make it faster
- 2.🎯 Tara’s fruit sorter is 80% accurate. If it is tested on 60 new fruit photos, how many should it get right?
- 3.🎯 Diya’s recycling sorter was tested on 20 new waste photos and got 16 right. What is its accuracy in percent?
- 4.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
- 5.⚖️ 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?
- 6.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
- 7.🎯 Rohan’s spam spotter is 50% accurate. If it is tested on 10 new messages, how many should it get right?
- 8.🎯 Diya’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
- 9.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
- 10.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
- 11.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 12.📦 Ananya collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 13.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
- 14.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
- 15.📋 Planning an AI project: which comes first — pick a question to solve or fix it and test again? (a) pick a question to solve (b) fix it and test again
- 16.❌ Meera’s spam spotter was tested on 47 new messages and got 38 right. How many did it get wrong?
- 17.🎯 Kabir’s fruit sorter is 90% accurate. If it is tested on 10 new fruit photos, how many should it get right?
- 18.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 19.📋 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
- 20.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
- 21.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
- 22.🎯 Tara’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
- 23.🎯 Ananya’s spam spotter is 80% accurate. If it is tested on 80 new messages, how many should it get right?
- 24.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
- 25.🎯 Aarav’s fruit sorter was tested on 25 new fruit photos and got 22 right. What is its accuracy in percent?
- 26.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
- 27.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
- 28.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
- 29.❌ Meera’s recycling sorter was tested on 44 new waste photos and got 38 right. How many did it get wrong?
- 30.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) a new colour screen (d) fewer examples
- 31.🎯 Rohan’s fruit sorter was tested on 10 new fruit photos and got 8 right. What is its accuracy in percent?
- 32.📦 Arjun collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 33.📦 Saanvi collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 34.📋 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
- 35.📋 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
- 36.📋 Planning an AI project: which comes first — choose what to sort or collect fruit photos? (a) choose what to sort (b) collect fruit photos
- 37.📦 Ishaan collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 38.🎯 Vihaan’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
- 39.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
- 40.📦 Ananya collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
Answer key
- to see if it learned
- 48
- 80
- collect fruit photos
- 20
- train the model
- 5
- 50
- set aside test photos
- test on new photos
- 20
- 40
- correct bad labels
- correct ÷ total × 100
- pick a question to solve
- 9
- 9
- 10
- split train and test
- 4
- set aside test photos
- 75
- 64
- try unseen examples
- 88
- correct bad labels
- collect fruit photos
- paper and examples
- 6
- more labelled examples
- 80
- 136
- 88
- let it learn patterns
- work out the accuracy
- choose what to sort
- 64
- 100
- split train and test
- 128
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students