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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 738 · 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.True or false: “old emails marked spam” is training data. (a) False (b) True
  2. 2.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  3. 3.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  4. 4.Which of these is the model? (a) typing a new spoken word (b) labelled fruit photos (c) the learned patterns (d) naming a new fruit photo
  5. 5.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
  6. 6.⏩ 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
  7. 7.Which of these is a prediction? (a) naming a new fruit photo (b) old emails marked spam (c) past weather records (d) recorded spoken words
  8. 8.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
  9. 9.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
  10. 10.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) tomorrow’s rain guess (d) old emails marked spam
  11. 11.Which of these is a prediction? (a) past weather records (b) the trained program (c) flagging a new email (d) old emails marked spam
  12. 12.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
  13. 13.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  14. 14.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  15. 15.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
  16. 16.True or false: “labelled fruit photos” is training data. (a) True (b) False
  17. 17.Which of these is a prediction? (a) old emails marked spam (b) naming a new leaf (c) past weather records (d) what training builds
  18. 18.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
  19. 19.True or false: “typing a new spoken word” is training data. (a) False (b) True
  20. 20.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
  21. 21.Which of these is training data? (a) 500 labelled leaf photos (b) what training builds (c) typing a new spoken word (d) the learned patterns
  22. 22.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  23. 23.Which of these is the model? (a) past weather records (b) old emails marked spam (c) naming a new leaf (d) what training builds
  24. 24.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  25. 25.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
  26. 26.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  27. 27.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
  28. 28.True or false: “what training builds” is training data. (a) False (b) True
  29. 29.True or false: “past weather records” is a prediction. (a) True (b) False
  30. 30.Which of these is the model? (a) tomorrow’s rain guess (b) past weather records (c) the trained program (d) 500 labelled leaf photos
  31. 31.True or false: “the learned patterns” is a prediction. (a) True (b) False
  32. 32.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  33. 33.True or false: “the trained program” is the model. (a) False (b) True
  34. 34.Which of these is training data? (a) past weather records (b) tomorrow’s rain guess (c) typing a new spoken word (d) naming a new leaf
  35. 35.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
  36. 36.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
  37. 37.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
  38. 38.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
  39. 39.True or false: “what training builds” is a prediction. (a) False (b) True
  40. 40.True or false: “labelled fruit photos” is a prediction. (a) False (b) True

Answer key

  1. True
  2. training data
  3. a prediction
  4. the learned patterns
  5. past weather records
  6. labelled fruit photos
  7. naming a new fruit photo
  8. it learns patterns
  9. data, model, prediction
  10. tomorrow’s rain guess
  11. flagging a new email
  12. the model
  13. True
  14. the learned patterns
  15. to see if it works
  16. True
  17. naming a new leaf
  18. a prediction
  19. False
  20. labelled fruit photos
  21. 500 labelled leaf photos
  22. a prediction
  23. what training builds
  24. the trained program
  25. False
  26. training data
  27. old emails marked spam
  28. False
  29. False
  30. the trained program
  31. False
  32. the learned patterns
  33. True
  34. past weather records
  35. labelled fruit photos
  36. the model
  37. 500 labelled leaf photos
  38. what training builds
  39. False
  40. False

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