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 fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?
- 2.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
- 3.📦 Nisha collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 4.🎯 Diya’s leaf identifier was tested on 25 new leaf photos and got 25 right. What is its accuracy in percent?
- 5.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
- 6.📋 Planning an AI project: which comes first — try unseen examples or gather many examples? (a) try unseen examples (b) gather many examples
- 7.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
- 8.🧪 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
- 9.⚖️ 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?
- 10.🎯 Saanvi’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
- 11.🧪 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
- 12.🎯 Meera’s handwriting reader was tested on 50 new handwritten letters and got 31 right. What is its accuracy in percent?
- 13.🎯 Vihaan’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
- 14.📦 Diya collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 15.📦 Vihaan collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 16.🎯 Nisha’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
- 17.🎯 Diya’s bird-song app is 60% accurate. If it is tested on 50 new bird songs, how many should it get right?
- 18.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
- 19.❌ Ishaan’s bird-song app was tested on 20 new bird songs and got 16 right. How many did it get wrong?
- 20.🎯 Aarav’s bird-song app is 80% accurate. If it is tested on 60 new bird songs, how many should it get right?
- 21.🎯 Nisha’s spam spotter is 60% accurate. If it is tested on 10 new messages, how many should it get right?
- 22.📋 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
- 23.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
- 24.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
- 25.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 19 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 26.❌ Tara’s recycling sorter was tested on 34 new waste photos and got 32 right. How many did it get wrong?
- 27.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
- 28.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 45 right and Model B got 42 right. How many percentage points more accurate is Model A?
- 29.❌ Aarav’s bird-song app was tested on 26 new bird songs and got 19 right. How many did it get wrong?
- 30.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 31.❌ Ishaan’s leaf identifier was tested on 15 new leaf photos and got 12 right. How many did it get wrong?
- 32.❌ Vihaan’s fruit sorter was tested on 15 new fruit photos and got 12 right. How many did it get wrong?
- 33.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
- 34.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
- 35.📋 Planning an AI project: which comes first — choose what to sort or split train and test? (a) choose what to sort (b) split train and test
- 36.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
- 37.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 18 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 38.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
- 39.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
- 40.🎯 Arjun’s bird-song app is 90% accurate. If it is tested on 80 new bird songs, how many should it get right?
Answer key
- 50
- label each example
- 40
- 100
- train the model
- gather many examples
- more labelled examples
- to see if it learned
- 35
- 50
- paper and examples
- 62
- 100
- 32
- 152
- 100
- 30
- tag each photo by type
- 4
- 48
- 6
- pick a question to solve
- pick a question to solve
- pick a question to solve
- 25
- 2
- collect fruit photos
- 6
- 7
- work out the accuracy
- 3
- 3
- work out the accuracy
- try unseen examples
- choose what to sort
- correct ÷ total × 100
- 15
- set aside test photos
- recheck every label
- 72
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students