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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 112 · 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.True or false: “typing a new spoken word” is the model. (a) False (b) True
  2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
  3. 3.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  4. 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
  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.True or false: “past weather records” is the model. (a) True (b) False
  7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
  8. 8.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
  9. 9.Which of these is the model? (a) naming a new leaf (b) naming a new fruit photo (c) the trained program (d) labelled fruit photos
  10. 10.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
  11. 11.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  12. 12.True or false: “past weather records” is a prediction. (a) True (b) False
  13. 13.True or false: “labelled fruit photos” is training data. (a) False (b) True
  14. 14.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
  15. 15.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
  16. 16.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
  17. 17.Which of these is training data? (a) tomorrow’s rain guess (b) typing a new spoken word (c) past weather records (d) what training builds
  18. 18.Which of these is a prediction? (a) the learned patterns (b) what training builds (c) typing a new spoken word (d) old emails marked spam
  19. 19.Which of these is training data? (a) what training builds (b) flagging a new email (c) labelled fruit photos (d) the trained program
  20. 20.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  21. 21.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
  22. 22.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  23. 23.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
  24. 24.Which of these is training data? (a) typing a new spoken word (b) 500 labelled leaf photos (c) the trained program (d) flagging a new email
  25. 25.Which of these is training data? (a) the learned patterns (b) naming a new fruit photo (c) old emails marked spam (d) what training builds
  26. 26.True or false: “past weather records” is training data. (a) True (b) False
  27. 27.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
  28. 28.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
  29. 29.True or false: “old emails marked spam” is training data. (a) True (b) False
  30. 30.True or false: “typing a new spoken word” is training data. (a) True (b) False
  31. 31.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
  32. 32.Which of these is the model? (a) naming a new leaf (b) what training builds (c) flagging a new email (d) 500 labelled leaf photos
  33. 33.Which of these is a prediction? (a) the learned patterns (b) naming a new fruit photo (c) the trained program (d) labelled fruit photos
  34. 34.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
  35. 35.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
  36. 36.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  37. 37.True or false: “recorded spoken words” is the model. (a) True (b) False
  38. 38.⏩ 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
  39. 39.Which of these is the model? (a) past weather records (b) naming a new leaf (c) the learned patterns (d) naming a new fruit photo
  40. 40.True or false: “500 labelled leaf photos” is training data. (a) False (b) True

Answer key

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

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