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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 422 · 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.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
  2. 2.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  3. 3.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  4. 4.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
  5. 5.Which of these is the model? (a) the trained program (b) 500 labelled leaf photos (c) recorded spoken words (d) flagging a new email
  6. 6.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
  7. 7.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
  8. 8.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
  9. 9.True or false: “naming a new fruit photo” is training data. (a) False (b) True
  10. 10.True or false: “past weather records” is a prediction. (a) False (b) True
  11. 11.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) past weather records (d) naming a new fruit photo
  12. 12.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
  13. 13.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  14. 14.True or false: “the learned patterns” is the model. (a) False (b) True
  15. 15.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
  16. 16.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  17. 17.True or false: “what training builds” is a prediction. (a) True (b) False
  18. 18.⏩ 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
  19. 19.True or false: “recorded spoken words” is the model. (a) False (b) True
  20. 20.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
  21. 21.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
  22. 22.True or false: “past weather records” is training data. (a) True (b) False
  23. 23.True or false: “labelled fruit photos” is the model. (a) True (b) False
  24. 24.True or false: “what training builds” is the model. (a) True (b) False
  25. 25.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  26. 26.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  27. 27.🔮 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
  28. 28.Which of these is training data? (a) the learned patterns (b) the trained program (c) old emails marked spam (d) what training builds
  29. 29.Which of these is the model? (a) typing a new spoken word (b) tomorrow’s rain guess (c) the learned patterns (d) naming a new leaf
  30. 30.Which of these is training data? (a) tomorrow’s rain guess (b) recorded spoken words (c) flagging a new email (d) what training builds
  31. 31.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  32. 32.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  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: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  35. 35.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) the learned patterns (d) past weather records
  36. 36.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) 500 labelled leaf photos (d) flagging a new email
  37. 37.True or false: “naming a new fruit photo” is the model. (a) False (b) True
  38. 38.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  39. 39.True or false: “labelled fruit photos” is training data. (a) True (b) False
  40. 40.Which of these is the model? (a) tomorrow’s rain guess (b) what training builds (c) naming a new leaf (d) old emails marked spam

Answer key

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

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