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.🎯 Arjun’s spam spotter was tested on 25 new messages and got 21 right. What is its accuracy in percent?
- 2.🧪 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
- 3.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 4.🎯 Kabir’s leaf identifier is 90% accurate. If it is tested on 100 new leaf photos, how many should it get right?
- 5.❌ Ishaan’s bird-song app was tested on 30 new bird songs and got 22 right. How many did it get wrong?
- 6.🎯 Arjun’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
- 7.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 44 right and Model B got 38 right. How many percentage points more accurate is Model A?
- 8.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
- 9.🎯 Arjun’s leaf identifier was tested on 20 new leaf photos and got 10 right. What is its accuracy in percent?
- 10.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
- 11.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
- 12.🎯 Ishaan’s fruit sorter is 90% accurate. If it is tested on 70 new fruit photos, how many should it get right?
- 13.🎯 Ananya’s spam spotter was tested on 50 new messages and got 34 right. What is its accuracy in percent?
- 14.📋 Planning an AI project: which comes first — choose what to sort or collect fruit photos? (a) choose what to sort (b) collect fruit photos
- 15.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
- 16.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
- 17.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
- 18.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 41 right and Model B got 26 right. How many percentage points more accurate is Model A?
- 19.🎯 Nisha’s bird-song app is 50% accurate. If it is tested on 10 new bird songs, how many should it get right?
- 20.📦 Meera collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 21.🎯 Tara’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
- 22.❌ Meera’s fruit sorter was tested on 22 new fruit photos and got 21 right. How many did it get wrong?
- 23.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
- 24.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 13 right. How many percentage points more accurate is Model A?
- 25.📦 Kabir collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 26.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 49 right and Model B got 35 right. How many percentage points more accurate is Model A?
- 27.📋 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
- 28.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 24 right and Model B got 21 right. How many percentage points more accurate is Model A?
- 29.🎯 Ananya’s bird-song app is 70% accurate. If it is tested on 90 new bird songs, how many should it get right?
- 30.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to make it faster (d) to save paper
- 31.❌ Saanvi’s leaf identifier was tested on 24 new leaf photos and got 16 right. How many did it get wrong?
- 32.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
- 33.📋 Planning an AI project: which comes first — let it learn patterns or correct bad labels? (a) let it learn patterns (b) correct bad labels
- 34.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
- 35.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
- 36.📦 Tara collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 37.🎯 Meera’s recycling sorter is 70% accurate. If it is tested on 10 new waste photos, how many should it get right?
- 38.❌ Ananya’s leaf identifier was tested on 16 new leaf photos and got 10 right. How many did it get wrong?
- 39.🎯 Tara’s recycling sorter was tested on 10 new waste photos and got 10 right. What is its accuracy in percent?
- 40.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
Answer key
- 84
- more labelled examples
- calculate percent right
- 90
- 8
- 100
- 12
- split train and test
- 50
- set aside test photos
- paper and examples
- 63
- 68
- choose what to sort
- train the model
- 5
- correct ÷ total × 100
- 30
- 5
- 128
- 90
- 1
- let it learn patterns
- 48
- 112
- 28
- test on new photos
- 12
- 63
- to see if it learned
- 8
- split train and test
- correct bad labels
- choose what to sort
- gather many examples
- 40
- 7
- 6
- 100
- gather many examples
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students