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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 175 · 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: “recorded spoken words”? (a) a prediction (b) training data (c) the model
  2. 2.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
  3. 3.⏩ 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
  4. 4.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
  5. 5.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
  6. 6.True or false: “labelled fruit photos” is training data. (a) True (b) False
  7. 7.Which of these is training data? (a) flagging a new email (b) the trained program (c) naming a new leaf (d) labelled fruit photos
  8. 8.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
  9. 9.True or false: “labelled fruit photos” is the model. (a) True (b) False
  10. 10.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
  11. 11.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
  12. 12.Which of these is the model? (a) past weather records (b) flagging a new email (c) recorded spoken words (d) the trained program
  13. 13.⏩ 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
  14. 14.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  15. 15.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  16. 16.⏩ 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
  17. 17.Which of these is the model? (a) what training builds (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) recorded spoken words
  18. 18.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  19. 19.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  20. 20.True or false: “the learned patterns” is training data. (a) False (b) True
  21. 21.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
  22. 22.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  23. 23.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  24. 24.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  25. 25.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  26. 26.Which of these is the model? (a) tomorrow’s rain guess (b) the learned patterns (c) naming a new fruit photo (d) recorded spoken words
  27. 27.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  28. 28.Which of these is a prediction? (a) labelled fruit photos (b) what training builds (c) typing a new spoken word (d) recorded spoken words
  29. 29.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
  30. 30.Which of these is training data? (a) what training builds (b) recorded spoken words (c) tomorrow’s rain guess (d) flagging a new email
  31. 31.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
  32. 32.True or false: “flagging a new email” is a prediction. (a) False (b) True
  33. 33.True or false: “the learned patterns” is the model. (a) True (b) False
  34. 34.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  35. 35.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) old emails marked spam (d) what training builds
  36. 36.Which of these is training data? (a) typing a new spoken word (b) past weather records (c) the learned patterns (d) the trained program
  37. 37.True or false: “the trained program” is the model. (a) False (b) True
  38. 38.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
  39. 39.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) naming a new leaf (d) the trained program
  40. 40.Which of these is a prediction? (a) flagging a new email (b) labelled fruit photos (c) the trained program (d) the learned patterns

Answer key

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

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