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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 348 · 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) a prediction (b) training data (c) the model
  2. 2.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  3. 3.Which of these is training data? (a) the trained program (b) what training builds (c) typing a new spoken word (d) past weather records
  4. 4.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  5. 5.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) typing a new spoken word (d) old emails marked spam
  6. 6.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  7. 7.True or false: “what training builds” is the model. (a) False (b) True
  8. 8.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
  9. 9.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
  10. 10.True or false: “old emails marked spam” is training data. (a) False (b) True
  11. 11.Which of these is training data? (a) flagging a new email (b) old emails marked spam (c) the trained program (d) what training builds
  12. 12.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) old emails marked spam (d) naming a new leaf
  13. 13.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  14. 14.True or false: “the trained program” is a prediction. (a) False (b) True
  15. 15.Which of these is a prediction? (a) recorded spoken words (b) tomorrow’s rain guess (c) what training builds (d) old emails marked spam
  16. 16.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
  17. 17.Which of these is the model? (a) past weather records (b) the trained program (c) naming a new leaf (d) tomorrow’s rain guess
  18. 18.True or false: “labelled fruit photos” is the model. (a) True (b) False
  19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
  20. 20.Which of these is the model? (a) the learned patterns (b) old emails marked spam (c) 500 labelled leaf photos (d) naming a new leaf
  21. 21.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
  22. 22.True or false: “old emails marked spam” is a prediction. (a) False (b) True
  23. 23.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
  24. 24.True or false: “the learned patterns” is the model. (a) False (b) True
  25. 25.True or false: “the trained program” is the model. (a) True (b) False
  26. 26.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  27. 27.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
  28. 28.Which of these is training data? (a) labelled fruit photos (b) typing a new spoken word (c) the trained program (d) tomorrow’s rain guess
  29. 29.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  30. 30.Which of these is training data? (a) the trained program (b) recorded spoken words (c) flagging a new email (d) typing a new spoken word
  31. 31.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
  32. 32.True or false: “labelled fruit photos” is training data. (a) False (b) True
  33. 33.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
  34. 34.Which of these is a prediction? (a) old emails marked spam (b) flagging a new email (c) the trained program (d) recorded spoken words
  35. 35.True or false: “the learned patterns” is training data. (a) False (b) True
  36. 36.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
  37. 37.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
  38. 38.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
  39. 39.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  40. 40.⏩ 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

Answer key

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

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