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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 490 · 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: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
  2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
  3. 3.True or false: “the learned patterns” is a prediction. (a) True (b) False
  4. 4.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  5. 5.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
  6. 6.True or false: “naming a new fruit photo” is training data. (a) False (b) True
  7. 7.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  8. 8.Which of these is training data? (a) old emails marked spam (b) the trained program (c) typing a new spoken word (d) flagging a new email
  9. 9.Which of these is the model? (a) typing a new spoken word (b) tomorrow’s rain guess (c) the learned patterns (d) old emails marked spam
  10. 10.True or false: “typing a new spoken word” is the model. (a) False (b) True
  11. 11.True or false: “recorded spoken words” is training data. (a) False (b) True
  12. 12.True or false: “recorded spoken words” is a prediction. (a) False (b) True
  13. 13.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
  14. 14.True or false: “what training builds” is a prediction. (a) True (b) False
  15. 15.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  16. 16.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) the trained program (d) past weather records
  17. 17.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  18. 18.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  19. 19.True or false: “the trained program” is training data. (a) True (b) False
  20. 20.Which of these is a prediction? (a) the learned patterns (b) the trained program (c) old emails marked spam (d) tomorrow’s rain guess
  21. 21.Which of these is training data? (a) what training builds (b) 500 labelled leaf photos (c) the learned patterns (d) naming a new leaf
  22. 22.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
  23. 23.Which of these is training data? (a) what training builds (b) labelled fruit photos (c) flagging a new email (d) the learned patterns
  24. 24.True or false: “old emails marked spam” is the model. (a) True (b) False
  25. 25.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  26. 26.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  27. 27.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
  28. 28.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) naming a new leaf (d) old emails marked spam
  29. 29.True or false: “old emails marked spam” is training data. (a) True (b) False
  30. 30.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  31. 31.True or false: “past weather records” is the model. (a) True (b) False
  32. 32.Which of these is the model? (a) flagging a new email (b) what training builds (c) tomorrow’s rain guess (d) recorded spoken words
  33. 33.⏩ 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
  34. 34.True or false: “the learned patterns” is the model. (a) False (b) True
  35. 35.Which of these is the model? (a) flagging a new email (b) recorded spoken words (c) 500 labelled leaf photos (d) the trained program
  36. 36.True or false: “the learned patterns” is training data. (a) False (b) True
  37. 37.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
  38. 38.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
  39. 39.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
  40. 40.True or false: “flagging a new email” is a prediction. (a) True (b) False

Answer key

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

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