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.❌ Nisha’s leaf identifier was tested on 33 new leaf photos and got 28 right. How many did it get wrong?
- 2.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 49 right and Model B got 45 right. How many percentage points more accurate is Model A?
- 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
- 4.❌ Aarav’s recycling sorter was tested on 13 new waste photos and got 11 right. How many did it get wrong?
- 5.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
- 6.🎯 Meera’s spam spotter is 80% accurate. If it is tested on 40 new messages, how many should it get right?
- 7.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 30 right and Model B got 28 right. How many percentage points more accurate is Model A?
- 8.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
- 9.🎯 Meera’s bird-song app is 50% accurate. If it is tested on 20 new bird songs, how many should it get right?
- 10.🧪 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
- 11.🎯 Rohan’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
- 12.🎯 Ananya’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
- 13.📦 Rohan collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 14.📦 Rohan collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 15.📋 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
- 16.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
- 17.📦 Nisha collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 18.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 39 right and Model B got 30 right. How many percentage points more accurate is Model A?
- 19.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 20.❌ Kabir’s fruit sorter was tested on 46 new fruit photos and got 45 right. How many did it get wrong?
- 21.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 23 right and Model B got 20 right. How many percentage points more accurate is Model A?
- 22.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 50 right and Model B got 38 right. How many percentage points more accurate is Model A?
- 23.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
- 24.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
- 25.❌ Diya’s leaf identifier was tested on 47 new leaf photos and got 45 right. How many did it get wrong?
- 26.🧪 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
- 27.🎯 Tara’s leaf identifier was tested on 25 new leaf photos and got 25 right. What is its accuracy in percent?
- 28.🎯 Kabir’s recycling sorter was tested on 50 new waste photos and got 40 right. What is its accuracy in percent?
- 29.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 30.📦 Saanvi collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 31.🎯 Kabir’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
- 32.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 21 right. How many percentage points more accurate is Model A?
- 33.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 30 new fruit photos, how many should it get right?
- 34.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
- 35.📋 Planning an AI project: which comes first — choose what to sort or collect fruit photos? (a) choose what to sort (b) collect fruit photos
- 36.🎯 Aarav’s fruit sorter is 70% accurate. If it is tested on 10 new fruit photos, how many should it get right?
- 37.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
- 38.🎯 Arjun’s bird-song app is 50% accurate. If it is tested on 100 new bird songs, how many should it get right?
- 39.🎯 Diya’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
- 40.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
Answer key
- 5
- 8
- more labelled examples
- 2
- calculate percent right
- 32
- 4
- collect fruit photos
- 10
- to see if it learned
- 60
- 100
- 120
- 56
- split train and test
- correct bad labels
- 32
- 18
- 40
- 1
- 12
- 24
- correct ÷ total × 100
- 30
- 2
- paper and examples
- 100
- 80
- calculate percent right
- 128
- 60
- 16
- 15
- test on new photos
- choose what to sort
- 7
- 30
- 50
- 80
- 10
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students