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’s spam spotter was tested on 50 new messages and got 45 right. What is its accuracy in percent?
- 2.❌ Nisha’s fruit sorter was tested on 42 new fruit photos and got 33 right. How many did it get wrong?
- 3.📦 Arjun collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 4.🎯 Rohan’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
- 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
- 6.🎯 Vihaan’s fruit sorter was tested on 25 new fruit photos and got 14 right. What is its accuracy in percent?
- 7.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 46 right and Model B got 34 right. How many percentage points more accurate is Model A?
- 8.🎯 Aarav’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
- 9.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
- 10.❌ Tara’s handwriting reader was tested on 41 new handwritten letters and got 40 right. How many did it get wrong?
- 11.📋 Planning an AI project: which comes first — try unseen examples or recheck every label? (a) try unseen examples (b) recheck every label
- 12.🎯 Aarav’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
- 13.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
- 14.🎯 Nisha’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
- 15.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
- 16.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
- 17.📦 Meera collected 180 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 18.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 45 right and Model B got 43 right. How many percentage points more accurate is Model A?
- 19.🎯 Saanvi’s recycling sorter is 50% accurate. If it is tested on 20 new waste photos, how many should it get right?
- 20.🧪 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 save paper (d) to make it bigger
- 21.❌ Ishaan’s recycling sorter was tested on 16 new waste photos and got 14 right. How many did it get wrong?
- 22.🎯 Aarav’s leaf identifier is 80% accurate. If it is tested on 40 new leaf photos, how many should it get right?
- 23.🎯 Rohan’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
- 24.📦 Vihaan collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 25.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
- 26.⚖️ 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?
- 27.🎯 Vihaan’s bird-song app is 80% accurate. If it is tested on 90 new bird songs, how many should it get right?
- 28.📦 Nisha collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 29.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 22 right and Model B got 19 right. How many percentage points more accurate is Model A?
- 30.❌ Kabir’s spam spotter was tested on 25 new messages and got 22 right. How many did it get wrong?
- 31.📦 Nisha collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 32.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
- 33.❌ Tara’s leaf identifier was tested on 49 new leaf photos and got 46 right. How many did it get wrong?
- 34.🎯 Arjun’s handwriting reader is 80% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
- 35.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 19 right and Model B got 12 right. How many percentage points more accurate is Model A?
- 36.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
- 37.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
- 38.❌ Tara’s fruit sorter was tested on 44 new fruit photos and got 39 right. How many did it get wrong?
- 39.📋 Planning an AI project: which comes first — fix it and test again or label each example? (a) fix it and test again (b) label each example
- 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
- 90
- 9
- 48
- 50
- more labelled examples
- 56
- 24
- 100
- paper and examples
- 1
- recheck every label
- 100
- 20
- 50
- split train and test
- calculate percent right
- 144
- 4
- 10
- to see if it learned
- 2
- 32
- 50
- 128
- try unseen examples
- 20
- 72
- 48
- 12
- 3
- 32
- gather many examples
- 3
- 72
- 35
- correct bad labels
- gather many examples
- 5
- label each example
- test on new photos
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students