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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 986 · 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: “the trained program”? (a) the model (b) training data (c) a prediction
  2. 2.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
  3. 3.True or false: “old emails marked spam” is the model. (a) False (b) True
  4. 4.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  5. 5.Which of these is a prediction? (a) past weather records (b) 500 labelled leaf photos (c) old emails marked spam (d) naming a new leaf
  6. 6.Which of these is the model? (a) the trained program (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) flagging a new email
  7. 7.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
  8. 8.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
  9. 9.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  10. 10.Which of these is the model? (a) flagging a new email (b) the learned patterns (c) typing a new spoken word (d) recorded spoken words
  11. 11.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  12. 12.⏩ 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
  13. 13.Which of these is the model? (a) what training builds (b) recorded spoken words (c) 500 labelled leaf photos (d) naming a new fruit photo
  14. 14.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) naming a new fruit photo (d) old emails marked spam
  15. 15.⏩ 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
  16. 16.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
  17. 17.⏩ 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
  18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
  19. 19.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
  20. 20.True or false: “the trained program” is training data. (a) True (b) False
  21. 21.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  22. 22.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  23. 23.True or false: “past weather records” is training data. (a) True (b) False
  24. 24.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
  25. 25.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  26. 26.Which of these is training data? (a) the trained program (b) typing a new spoken word (c) recorded spoken words (d) tomorrow’s rain guess
  27. 27.True or false: “typing a new spoken word” is the model. (a) True (b) False
  28. 28.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) the learned patterns (d) flagging a new email
  29. 29.True or false: “the learned patterns” is the model. (a) False (b) True
  30. 30.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
  31. 31.Which of these is a prediction? (a) typing a new spoken word (b) 500 labelled leaf photos (c) old emails marked spam (d) what training builds
  32. 32.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  33. 33.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
  34. 34.True or false: “flagging a new email” is training data. (a) False (b) True
  35. 35.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
  36. 36.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) labelled fruit photos (d) typing a new spoken word
  37. 37.True or false: “flagging a new email” is a prediction. (a) False (b) True
  38. 38.True or false: “naming a new fruit photo” is the model. (a) False (b) True
  39. 39.⏩ 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
  40. 40.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction

Answer key

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

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