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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 783 · 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.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
  2. 2.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
  3. 3.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  4. 4.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
  5. 5.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  6. 6.Which of these is the model? (a) naming a new leaf (b) old emails marked spam (c) the learned patterns (d) labelled fruit photos
  7. 7.True or false: “what training builds” is the model. (a) False (b) True
  8. 8.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
  9. 9.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
  10. 10.True or false: “old emails marked spam” is training data. (a) False (b) True
  11. 11.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
  12. 12.🔮 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
  13. 13.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  14. 14.Which of these is training data? (a) the trained program (b) flagging a new email (c) past weather records (d) typing a new spoken word
  15. 15.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
  16. 16.Which of these is a prediction? (a) naming a new leaf (b) past weather records (c) recorded spoken words (d) what training builds
  17. 17.Which of these is a prediction? (a) labelled fruit photos (b) 500 labelled leaf photos (c) old emails marked spam (d) naming a new fruit photo
  18. 18.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
  19. 19.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
  20. 20.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) flagging a new email (d) labelled fruit photos
  21. 21.True or false: “recorded spoken words” is the model. (a) False (b) True
  22. 22.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
  23. 23.Which of these is training data? (a) old emails marked spam (b) naming a new leaf (c) naming a new fruit photo (d) tomorrow’s rain guess
  24. 24.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
  25. 25.Which of these is training data? (a) labelled fruit photos (b) what training builds (c) tomorrow’s rain guess (d) the learned patterns
  26. 26.True or false: “the trained program” is the model. (a) False (b) True
  27. 27.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
  28. 28.Which of these is training data? (a) flagging a new email (b) what training builds (c) naming a new leaf (d) 500 labelled leaf photos
  29. 29.True or false: “naming a new leaf” is training data. (a) False (b) True
  30. 30.True or false: “recorded spoken words” is training data. (a) True (b) False
  31. 31.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
  32. 32.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
  33. 33.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  34. 34.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  35. 35.True or false: “the learned patterns” is the model. (a) True (b) False
  36. 36.Which of these is training data? (a) flagging a new email (b) recorded spoken words (c) typing a new spoken word (d) what training builds
  37. 37.True or false: “labelled fruit photos” is the model. (a) True (b) False
  38. 38.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
  39. 39.True or false: “the trained program” is training data. (a) False (b) True
  40. 40.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns

Answer key

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

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