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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 417 · 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: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  2. 2.Which of these is training data? (a) 500 labelled leaf photos (b) flagging a new email (c) the trained program (d) the learned patterns
  3. 3.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  4. 4.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
  5. 5.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
  6. 6.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
  7. 7.True or false: “old emails marked spam” is the model. (a) True (b) False
  8. 8.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
  9. 9.Which of these is a prediction? (a) the learned patterns (b) naming a new fruit photo (c) labelled fruit photos (d) the trained program
  10. 10.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) flagging a new email (d) recorded spoken words
  11. 11.Which of these is a prediction? (a) naming a new leaf (b) labelled fruit photos (c) past weather records (d) 500 labelled leaf photos
  12. 12.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) 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 the model? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) the trained program (d) 500 labelled leaf photos
  15. 15.⏩ 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
  16. 16.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
  17. 17.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  18. 18.Which of these is training data? (a) the trained program (b) recorded spoken words (c) tomorrow’s rain guess (d) typing a new spoken word
  19. 19.True or false: “the learned patterns” is a prediction. (a) False (b) True
  20. 20.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
  21. 21.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
  22. 22.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) the trained program (d) the learned patterns
  23. 23.True or false: “flagging a new email” is training data. (a) True (b) False
  24. 24.True or false: “what training builds” is the model. (a) False (b) True
  25. 25.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
  26. 26.Which of these is a prediction? (a) typing a new spoken word (b) the learned patterns (c) old emails marked spam (d) 500 labelled leaf photos
  27. 27.True or false: “what training builds” is training data. (a) False (b) True
  28. 28.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  29. 29.Which of these is training data? (a) labelled fruit photos (b) naming a new fruit photo (c) naming a new leaf (d) flagging a new email
  30. 30.True or false: “recorded spoken words” is training data. (a) False (b) True
  31. 31.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
  32. 32.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
  33. 33.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
  34. 34.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
  35. 35.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
  36. 36.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  37. 37.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  38. 38.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
  39. 39.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  40. 40.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction

Answer key

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

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