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.🎯 Kabir’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
- 2.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
- 3.⚖️ 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?
- 4.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
- 5.🎯 Aarav’s leaf identifier is 90% accurate. If it is tested on 30 new leaf photos, how many should it get right?
- 6.❌ Diya’s spam spotter was tested on 37 new messages and got 31 right. How many did it get wrong?
- 7.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
- 8.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
- 9.📦 Nisha collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 10.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
- 11.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
- 12.🎯 Ishaan’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
- 13.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
- 14.📦 Ananya collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 15.🎯 Meera’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
- 16.🎯 Diya’s handwriting reader was tested on 20 new handwritten letters and got 17 right. What is its accuracy in percent?
- 17.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
- 18.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
- 19.🎯 Nisha’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
- 20.📦 Nisha collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 21.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 22.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
- 23.🎯 Nisha’s spam spotter was tested on 10 new messages and got 8 right. What is its accuracy in percent?
- 24.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
- 25.📦 Diya collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 26.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
- 27.📦 Diya collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 28.❌ Nisha’s leaf identifier was tested on 27 new leaf photos and got 22 right. How many did it get wrong?
- 29.📦 Arjun collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 30.📦 Ananya collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 31.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 36 right and Model B got 30 right. How many percentage points more accurate is Model A?
- 32.📦 Arjun collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 33.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) a louder speaker (d) more labelled examples
- 34.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 35.❌ Ananya’s spam spotter was tested on 41 new messages and got 32 right. How many did it get wrong?
- 36.🎯 Meera’s handwriting reader is 70% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
- 37.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
- 38.🎯 Vihaan’s spam spotter is 50% accurate. If it is tested on 60 new messages, how many should it get right?
- 39.📋 Planning an AI project: which comes first — choose what to sort or train the model? (a) choose what to sort (b) train the model
- 40.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
Answer key
- 50
- gather many examples
- 5
- tag each photo by type
- 27
- 6
- correct ÷ total × 100
- choose what to sort
- 128
- to see if it learned
- work out the accuracy
- 100
- gather many examples
- 56
- 75
- 85
- label each example
- 8
- 75
- 80
- 40
- train the model
- 80
- correct bad labels
- 32
- try unseen examples
- 128
- 5
- 144
- 144
- 12
- 104
- more labelled examples
- 50
- 9
- 7
- gather many examples
- 30
- choose what to sort
- pick a question to solve
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students