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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 497 · 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: “what training builds”? (a) the model (b) training data (c) a prediction
  2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  3. 3.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
  4. 4.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) naming a new leaf (d) 500 labelled leaf photos
  5. 5.Which of these is the model? (a) the trained program (b) flagging a new email (c) naming a new leaf (d) typing a new spoken word
  6. 6.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to change its name (d) to make it slower
  7. 7.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  8. 8.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
  9. 9.True or false: “what training builds” is training data. (a) False (b) True
  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: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  12. 12.True or false: “recorded spoken words” is training data. (a) False (b) True
  13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error
  14. 14.True or false: “what training builds” is the model. (a) False (b) True
  15. 15.True or false: “typing a new spoken word” is the model. (a) True (b) False
  16. 16.⏩ 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
  17. 17.True or false: “the learned patterns” is the model. (a) False (b) True
  18. 18.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
  19. 19.True or false: “past weather records” is training data. (a) False (b) True
  20. 20.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  21. 21.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
  22. 22.Which of these is the model? (a) tomorrow’s rain guess (b) the learned patterns (c) labelled fruit photos (d) flagging a new email
  23. 23.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) flagging a new email (d) labelled fruit photos
  24. 24.Which of these is training data? (a) past weather records (b) flagging a new email (c) what training builds (d) naming a new fruit photo
  25. 25.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  26. 26.True or false: “past weather records” is the model. (a) False (b) True
  27. 27.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  28. 28.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  29. 29.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
  30. 30.⏩ 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
  31. 31.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) what training builds (d) old emails marked spam
  32. 32.⏩ 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
  33. 33.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
  34. 34.True or false: “the learned patterns” is training data. (a) False (b) True
  35. 35.Which of these is the model? (a) what training builds (b) typing a new spoken word (c) recorded spoken words (d) tomorrow’s rain guess
  36. 36.⏩ 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
  37. 37.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
  38. 38.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
  39. 39.⏩ 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
  40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns

Answer key

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

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