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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 794 · 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) the trained program (b) tomorrow’s rain guess (c) old emails marked spam (d) recorded spoken words
  2. 2.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
  3. 3.True or false: “past weather records” is training data. (a) False (b) True
  4. 4.True or false: “the learned patterns” is the model. (a) False (b) True
  5. 5.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  6. 6.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
  7. 7.Which of these is training data? (a) labelled fruit photos (b) the trained program (c) naming a new leaf (d) typing a new spoken word
  8. 8.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
  9. 9.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
  10. 10.⏩ 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
  11. 11.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
  12. 12.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
  13. 13.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
  14. 14.Which of these is training data? (a) 500 labelled leaf photos (b) typing a new spoken word (c) what training builds (d) naming a new leaf
  15. 15.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
  16. 16.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
  17. 17.Which of these is the model? (a) 500 labelled leaf photos (b) the learned patterns (c) flagging a new email (d) naming a new leaf
  18. 18.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
  19. 19.Which of these is a prediction? (a) labelled fruit photos (b) flagging a new email (c) recorded spoken words (d) 500 labelled leaf photos
  20. 20.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
  21. 21.Which of these is a prediction? (a) recorded spoken words (b) the learned patterns (c) old emails marked spam (d) typing a new spoken word
  22. 22.True or false: “typing a new spoken word” is the model. (a) True (b) False
  23. 23.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
  24. 24.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  25. 25.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
  26. 26.True or false: “recorded spoken words” is training data. (a) True (b) False
  27. 27.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
  28. 28.Which of these is training data? (a) flagging a new email (b) recorded spoken words (c) the learned patterns (d) the trained program
  29. 29.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  30. 30.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  31. 31.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
  32. 32.Which of these is the model? (a) flagging a new email (b) 500 labelled leaf photos (c) old emails marked spam (d) what training builds
  33. 33.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  34. 34.True or false: “the trained program” is the model. (a) False (b) True
  35. 35.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
  36. 36.True or false: “past weather records” is a prediction. (a) False (b) True
  37. 37.True or false: “labelled fruit photos” is training data. (a) True (b) False
  38. 38.🔮 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
  39. 39.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
  40. 40.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) what training builds (d) past weather records

Answer key

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

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