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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 801 · 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) recorded spoken words (b) past weather records (c) the trained program (d) 500 labelled leaf photos
  2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  3. 3.Which of these is a prediction? (a) recorded spoken words (b) typing a new spoken word (c) the trained program (d) 500 labelled leaf photos
  4. 4.Which of these is training data? (a) old emails marked spam (b) tomorrow’s rain guess (c) what training builds (d) naming a new leaf
  5. 5.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
  6. 6.True or false: “typing a new spoken word” is the model. (a) False (b) True
  7. 7.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
  8. 8.True or false: “labelled fruit photos” is training data. (a) False (b) True
  9. 9.Which of these is the model? (a) naming a new fruit photo (b) what training builds (c) naming a new leaf (d) tomorrow’s rain guess
  10. 10.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  11. 11.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
  12. 12.True or false: “the trained program” is the model. (a) True (b) False
  13. 13.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
  14. 14.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
  15. 15.Which of these is the model? (a) past weather records (b) the learned patterns (c) old emails marked spam (d) naming a new leaf
  16. 16.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
  17. 17.True or false: “the trained program” is a prediction. (a) True (b) False
  18. 18.🧪 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
  19. 19.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  20. 20.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
  21. 21.Which of these is training data? (a) 500 labelled leaf photos (b) the trained program (c) flagging a new email (d) what training builds
  22. 22.True or false: “old emails marked spam” is the model. (a) False (b) True
  23. 23.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  24. 24.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  25. 25.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
  26. 26.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) labelled fruit photos (d) what training builds
  27. 27.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
  28. 28.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  29. 29.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
  30. 30.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
  31. 31.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
  32. 32.True or false: “past weather records” is training data. (a) True (b) False
  33. 33.Which of these is a prediction? (a) old emails marked spam (b) labelled fruit photos (c) recorded spoken words (d) flagging a new email
  34. 34.⏩ 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
  35. 35.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
  36. 36.⏩ 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
  37. 37.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
  38. 38.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  39. 39.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  40. 40.True or false: “500 labelled leaf photos” is training data. (a) False (b) True

Answer key

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

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