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.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to make it faster (d) to save paper
- 2.❌ Ishaan’s handwriting reader was tested on 26 new handwritten letters and got 19 right. How many did it get wrong?
- 3.🎯 Tara’s bird-song app is 50% accurate. If it is tested on 40 new bird songs, how many should it get right?
- 4.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples
- 5.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
- 6.📦 Ananya collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 7.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) paper and examples (d) nothing at all
- 8.🎯 Diya’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
- 9.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
- 10.🎯 Vihaan’s spam spotter is 90% accurate. If it is tested on 50 new messages, how many should it get right?
- 11.🎯 Ananya’s bird-song app was tested on 20 new bird songs and got 13 right. What is its accuracy in percent?
- 12.🎯 Ananya’s fruit sorter is 60% accurate. If it is tested on 10 new fruit photos, how many should it get right?
- 13.❌ Saanvi’s fruit sorter was tested on 43 new fruit photos and got 42 right. How many did it get wrong?
- 14.🎯 Meera’s leaf identifier is 80% accurate. If it is tested on 40 new leaf photos, how many should it get right?
- 15.📦 Meera collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 16.🎯 Vihaan’s handwriting reader was tested on 50 new handwritten letters and got 25 right. What is its accuracy in percent?
- 17.🎯 Diya’s recycling sorter is 50% accurate. If it is tested on 40 new waste photos, how many should it get right?
- 18.🎯 Kabir’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
- 19.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
- 20.❌ Vihaan’s recycling sorter was tested on 21 new waste photos and got 20 right. How many did it get wrong?
- 21.📦 Ananya collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 22.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
- 23.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
- 24.📦 Tara collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 25.🎯 Kabir’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
- 26.🎯 Kabir’s recycling sorter is 70% accurate. If it is tested on 70 new waste photos, how many should it get right?
- 27.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 28.❌ Saanvi’s handwriting reader was tested on 24 new handwritten letters and got 18 right. How many did it get wrong?
- 29.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 17 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 30.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
- 31.🎯 Meera’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
- 32.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
- 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.❌ Nisha’s recycling sorter was tested on 17 new waste photos and got 10 right. How many did it get wrong?
- 35.🎯 Diya’s bird-song app is 50% accurate. If it is tested on 80 new bird songs, how many should it get right?
- 36.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
- 37.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
- 38.🎯 Tara’s spam spotter is 50% accurate. If it is tested on 20 new messages, how many should it get right?
- 39.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 32 right and Model B got 25 right. How many percentage points more accurate is Model A?
- 40.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
Answer key
- to see if it learned
- 7
- 20
- gather many examples
- correct ÷ total × 100
- 160
- paper and examples
- 60
- test on new photos
- 45
- 65
- 6
- 1
- 32
- 40
- 50
- 20
- 80
- correct bad labels
- 1
- 144
- correct bad labels
- pick a question to solve
- 120
- 75
- 49
- work out the accuracy
- 6
- 8
- split train and test
- 60
- more labelled examples
- work out the accuracy
- 7
- 40
- split train and test
- gather many examples
- 10
- 14
- train the model
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students