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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 634 · 40 questions
TalentJR

AI tip (Data → model → prediction): Training data = the examples (500 labelled leaf photos, old emails marked spam). The model = the learned patterns that training builds. A prediction = the model’s answer about something NEW (naming a new leaf, flagging a new email). The order is always data → model → prediction.

NameDateTime takenScore ___ / 40
  1. 1.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  2. 2.Which of these is the model? (a) flagging a new email (b) recorded spoken words (c) 500 labelled leaf photos (d) the trained program
  3. 3.True or false: “old emails marked spam” is a prediction. (a) True (b) False
  4. 4.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
  5. 5.True or false: “labelled fruit photos” is the model. (a) True (b) False
  6. 6.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) typing a new spoken word (d) labelled fruit photos
  7. 7.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
  8. 8.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
  9. 9.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
  10. 10.True or false: “the trained program” is the model. (a) False (b) True
  11. 11.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
  12. 12.True or false: “flagging a new email” is training data. (a) True (b) False
  13. 13.Which of these is training data? (a) flagging a new email (b) typing a new spoken word (c) old emails marked spam (d) the learned patterns
  14. 14.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  15. 15.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
  16. 16.True or false: “old emails marked spam” is training data. (a) False (b) True
  17. 17.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  18. 18.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
  20. 20.True or false: “flagging a new email” is a prediction. (a) False (b) True
  21. 21.Which of these is the model? (a) recorded spoken words (b) typing a new spoken word (c) the learned patterns (d) tomorrow’s rain guess
  22. 22.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  23. 23.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
  24. 24.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
  25. 25.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
  26. 26.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
  27. 27.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  28. 28.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error
  29. 29.True or false: “the trained program” is a prediction. (a) True (b) False
  30. 30.True or false: “old emails marked spam” is the model. (a) False (b) True
  31. 31.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
  32. 32.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
  33. 33.Which of these is a prediction? (a) typing a new spoken word (b) old emails marked spam (c) the learned patterns (d) what training builds
  34. 34.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
  35. 35.Which of these is a prediction? (a) recorded spoken words (b) the trained program (c) old emails marked spam (d) tomorrow’s rain guess
  36. 36.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
  37. 37.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
  38. 38.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
  39. 39.Which of these is a prediction? (a) the learned patterns (b) what training builds (c) old emails marked spam (d) flagging a new email
  40. 40.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction

Answer key

  1. the learned patterns
  2. the trained program
  3. False
  4. data, model, prediction
  5. False
  6. labelled fruit photos
  7. a prediction
  8. recorded spoken words
  9. a prediction
  10. True
  11. past weather records
  12. False
  13. old emails marked spam
  14. the trained program
  15. past weather records
  16. True
  17. True
  18. training data
  19. training data
  20. True
  21. the learned patterns
  22. True
  23. to see if it works
  24. the model
  25. past weather records
  26. labelled fruit photos
  27. True
  28. a prediction
  29. False
  30. False
  31. what training builds
  32. the model
  33. typing a new spoken word
  34. training data
  35. tomorrow’s rain guess
  36. recorded spoken words
  37. training data
  38. it learns patterns
  39. flagging a new email
  40. training data

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