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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 102 · 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.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
  2. 2.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
  3. 3.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
  4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a password (d) a label error
  5. 5.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
  6. 6.Which of these is training data? (a) the learned patterns (b) recorded spoken words (c) naming a new fruit photo (d) flagging a new email
  7. 7.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
  8. 8.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  9. 9.Which of these is a prediction? (a) naming a new leaf (b) what training builds (c) recorded spoken words (d) the learned patterns
  10. 10.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  11. 11.True or false: “flagging a new email” is the model. (a) False (b) True
  12. 12.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  13. 13.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  14. 14.True or false: “past weather records” is the model. (a) False (b) True
  15. 15.True or false: “the learned patterns” is training data. (a) True (b) False
  16. 16.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
  17. 17.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  18. 18.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  19. 19.True or false: “old emails marked spam” is the model. (a) True (b) False
  20. 20.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
  21. 21.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) the trained program (d) labelled fruit photos
  22. 22.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
  23. 23.True or false: “typing a new spoken word” is the model. (a) False (b) True
  24. 24.⏩ 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
  25. 25.Which of these is the model? (a) naming a new leaf (b) flagging a new email (c) the trained program (d) naming a new fruit photo
  26. 26.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
  27. 27.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
  28. 28.True or false: “recorded spoken words” is training data. (a) False (b) True
  29. 29.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
  30. 30.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  31. 31.Which of these is a prediction? (a) typing a new spoken word (b) past weather records (c) the learned patterns (d) 500 labelled leaf photos
  32. 32.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  33. 33.Which of these is training data? (a) past weather records (b) tomorrow’s rain guess (c) what training builds (d) naming a new fruit photo
  34. 34.Which of these is training data? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) naming a new fruit photo (d) naming a new leaf
  35. 35.Which of these is a prediction? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) what training builds (d) old emails marked spam
  36. 36.Which of these is the model? (a) recorded spoken words (b) 500 labelled leaf photos (c) naming a new leaf (d) the learned patterns
  37. 37.True or false: “naming a new fruit photo” is the model. (a) True (b) False
  38. 38.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  39. 39.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
  40. 40.True or false: “typing a new spoken word” is training data. (a) False (b) True

Answer key

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

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