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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 976 · 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.Which of these is the model? (a) typing a new spoken word (b) labelled fruit photos (c) the learned patterns (d) naming a new leaf
  2. 2.Which of these is the model? (a) naming a new fruit photo (b) the trained program (c) 500 labelled leaf photos (d) labelled fruit photos
  3. 3.True or false: “the learned patterns” is the model. (a) True (b) False
  4. 4.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
  5. 5.True or false: “past weather records” is the model. (a) True (b) False
  6. 6.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
  7. 7.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
  8. 8.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
  9. 9.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  10. 10.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
  11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
  12. 12.True or false: “what training builds” is the model. (a) True (b) False
  13. 13.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) naming a new leaf (d) the trained program
  14. 14.True or false: “past weather records” is training data. (a) False (b) True
  15. 15.Which of these is training data? (a) 500 labelled leaf photos (b) what training builds (c) tomorrow’s rain guess (d) the trained program
  16. 16.True or false: “flagging a new email” is a prediction. (a) False (b) True
  17. 17.Which of these is a prediction? (a) old emails marked spam (b) past weather records (c) flagging a new email (d) labelled fruit photos
  18. 18.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
  19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
  20. 20.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  21. 21.True or false: “naming a new leaf” is the model. (a) False (b) True
  22. 22.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
  23. 23.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
  24. 24.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  25. 25.True or false: “labelled fruit photos” is training data. (a) False (b) True
  26. 26.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
  27. 27.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
  28. 28.True or false: “the learned patterns” is training data. (a) False (b) True
  29. 29.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  30. 30.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
  31. 31.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  32. 32.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
  33. 33.True or false: “flagging a new email” is training data. (a) False (b) True
  34. 34.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
  35. 35.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
  36. 36.True or false: “naming a new fruit photo” is training data. (a) False (b) True
  37. 37.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  38. 38.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
  39. 39.Which of these is training data? (a) the trained program (b) old emails marked spam (c) flagging a new email (d) typing a new spoken word
  40. 40.True or false: “what training builds” is a prediction. (a) False (b) True

Answer key

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

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