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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 107 · 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.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  2. 2.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
  3. 3.Which of these is training data? (a) old emails marked spam (b) the trained program (c) the learned patterns (d) tomorrow’s rain guess
  4. 4.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  5. 5.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
  6. 6.True or false: “the learned patterns” is a prediction. (a) True (b) False
  7. 7.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  8. 8.Which of these is training data? (a) the trained program (b) recorded spoken words (c) naming a new fruit photo (d) flagging a new email
  9. 9.True or false: “recorded spoken words” is training data. (a) True (b) False
  10. 10.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
  11. 11.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
  12. 12.Which of these is a prediction? (a) past weather records (b) the learned patterns (c) tomorrow’s rain guess (d) old emails marked spam
  13. 13.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) naming a new leaf (d) what training builds
  14. 14.Which of these is the model? (a) recorded spoken words (b) naming a new fruit photo (c) the learned patterns (d) flagging a new email
  15. 15.True or false: “the learned patterns” is the model. (a) False (b) True
  16. 16.Which of these is the model? (a) what training builds (b) labelled fruit photos (c) naming a new fruit photo (d) past weather records
  17. 17.True or false: “past weather records” is a prediction. (a) False (b) True
  18. 18.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
  19. 19.Which of these is the model? (a) past weather records (b) labelled fruit photos (c) the trained program (d) typing a new spoken word
  20. 20.True or false: “past weather records” is training data. (a) False (b) True
  21. 21.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  22. 22.⏩ 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
  23. 23.Which of these is a prediction? (a) naming a new fruit photo (b) old emails marked spam (c) 500 labelled leaf photos (d) past weather records
  24. 24.Which of these is a prediction? (a) labelled fruit photos (b) typing a new spoken word (c) recorded spoken words (d) old emails marked spam
  25. 25.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
  26. 26.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
  27. 27.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
  28. 28.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
  29. 29.True or false: “what training builds” is training data. (a) True (b) False
  30. 30.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
  31. 31.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  32. 32.True or false: “recorded spoken words” is the model. (a) True (b) False
  33. 33.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
  34. 34.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
  35. 35.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
  36. 36.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
  37. 37.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  38. 38.True or false: “old emails marked spam” is a prediction. (a) False (b) True
  39. 39.Which of these is training data? (a) the trained program (b) what training builds (c) naming a new fruit photo (d) labelled fruit photos
  40. 40.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True

Answer key

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

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