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.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
- 2.🎯 Vihaan’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
- 3.❌ Ishaan’s leaf identifier was tested on 22 new leaf photos and got 15 right. How many did it get wrong?
- 4.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 21 right. How many percentage points more accurate is Model A?
- 5.❌ Tara’s fruit sorter was tested on 46 new fruit photos and got 38 right. How many did it get wrong?
- 6.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
- 7.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
- 8.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
- 9.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
- 10.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 39 right and Model B got 33 right. How many percentage points more accurate is Model A?
- 11.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 17 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 12.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
- 13.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
- 14.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
- 15.🎯 Meera’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
- 16.🎯 Diya’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
- 17.📋 Planning an AI project: which comes first — label each example or train the model? (a) label each example (b) train the model
- 18.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
- 19.❌ Vihaan’s bird-song app was tested on 26 new bird songs and got 17 right. How many did it get wrong?
- 20.🎯 Tara’s handwriting reader is 90% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
- 21.🎯 Ananya’s recycling sorter is 70% accurate. If it is tested on 30 new waste photos, how many should it get right?
- 22.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
- 23.🎯 Saanvi’s handwriting reader is 60% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
- 24.🎯 Vihaan’s recycling sorter is 70% accurate. If it is tested on 30 new waste photos, how many should it get right?
- 25.🎯 Arjun’s bird-song app is 70% accurate. If it is tested on 40 new bird songs, how many should it get right?
- 26.🎯 Saanvi’s leaf identifier is 60% accurate. If it is tested on 20 new leaf photos, how many should it get right?
- 27.🎯 Diya’s leaf identifier is 80% accurate. If it is tested on 100 new leaf photos, how many should it get right?
- 28.🎯 Kabir’s spam spotter was tested on 10 new messages and got 9 right. What is its accuracy in percent?
- 29.❌ Diya’s bird-song app was tested on 22 new bird songs and got 17 right. How many did it get wrong?
- 30.❌ Arjun’s fruit sorter was tested on 39 new fruit photos and got 32 right. How many did it get wrong?
- 31.🎯 Ishaan’s bird-song app was tested on 20 new bird songs and got 18 right. What is its accuracy in percent?
- 32.⚖️ 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?
- 33.📋 Planning an AI project: which comes first — gather many examples or work out the accuracy? (a) gather many examples (b) work out the accuracy
- 34.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
- 35.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
- 36.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
- 37.🎯 Saanvi’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
- 38.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 15 right and Model B got 13 right. How many percentage points more accurate is Model A?
- 39.📦 Saanvi collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 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
- paper and examples
- 80
- 7
- 12
- 8
- test on new photos
- 10
- split train and test
- correct ÷ total × 100
- 12
- 12
- 15
- choose what to sort
- more labelled examples
- 100
- 75
- label each example
- tag each photo by type
- 9
- 18
- 21
- set aside test photos
- 12
- 21
- 28
- 12
- 80
- 90
- 5
- 7
- 90
- 10
- gather many examples
- try unseen examples
- calculate percent right
- collect fruit photos
- 100
- 10
- 72
- test on new photos
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students