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.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 2.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
- 3.📦 Tara collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 4.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 5.🎯 Nisha’s leaf identifier is 70% accurate. If it is tested on 80 new leaf photos, how many should it get right?
- 6.🎯 Tara’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
- 7.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
- 8.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
- 9.📦 Saanvi collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 10.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
- 11.🎯 Tara’s recycling sorter is 70% accurate. If it is tested on 100 new waste photos, how many should it get right?
- 12.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
- 13.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
- 14.❌ Arjun’s handwriting reader was tested on 43 new handwritten letters and got 39 right. How many did it get wrong?
- 15.🎯 Arjun’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
- 16.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
- 17.❌ Diya’s fruit sorter was tested on 12 new fruit photos and got 10 right. How many did it get wrong?
- 18.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 19.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 21 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 20.🎯 Saanvi’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
- 21.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) a new colour screen (d) fewer examples
- 22.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
- 23.❌ Vihaan’s handwriting reader was tested on 50 new handwritten letters and got 45 right. How many did it get wrong?
- 24.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
- 25.🎯 Saanvi’s recycling sorter was tested on 20 new waste photos and got 18 right. What is its accuracy in percent?
- 26.⚖️ 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?
- 27.🎯 Arjun’s fruit sorter was tested on 10 new fruit photos and got 7 right. What is its accuracy in percent?
- 28.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
- 29.❌ Vihaan’s recycling sorter was tested on 42 new waste photos and got 37 right. How many did it get wrong?
- 30.🎯 Tara’s bird-song app is 90% accurate. If it is tested on 100 new bird songs, how many should it get right?
- 31.🎯 Arjun’s spam spotter was tested on 10 new messages and got 7 right. What is its accuracy in percent?
- 32.🎯 Ananya’s spam spotter is 80% accurate. If it is tested on 70 new messages, how many should it get right?
- 33.🎯 Nisha’s fruit sorter is 90% accurate. If it is tested on 10 new fruit photos, how many should it get right?
- 34.🎯 Arjun’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
- 35.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
- 36.🎯 Aarav’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
- 37.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
- 38.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
- 39.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
- 40.📋 Planning an AI project: which comes first — choose what to sort or fix it and test again? (a) choose what to sort (b) fix it and test again
Answer key
- 10
- 40
- 40
- work out the accuracy
- 56
- 50
- correct ÷ total × 100
- 5
- 64
- collect fruit photos
- 70
- to see if it learned
- 20
- 4
- 50
- correct bad labels
- 2
- 20
- 28
- 28
- more labelled examples
- pick a question to solve
- 5
- pick a question to solve
- 90
- 35
- 70
- split train and test
- 5
- 90
- 70
- 56
- 9
- 75
- collect fruit photos
- 60
- correct bad labels
- work out the accuracy
- 30
- choose what to sort
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students