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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 43 · 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.

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  1. 1.⏩ 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
  2. 2.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  3. 3.Which of these is training data? (a) flagging a new email (b) typing a new spoken word (c) the learned patterns (d) 500 labelled leaf photos
  4. 4.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  5. 5.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
  6. 6.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  7. 7.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
  8. 8.Which of these is a prediction? (a) flagging a new email (b) the trained program (c) past weather records (d) 500 labelled leaf photos
  9. 9.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
  10. 10.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  11. 11.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  12. 12.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  13. 13.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  14. 14.Which of these is a prediction? (a) past weather records (b) labelled fruit photos (c) old emails marked spam (d) naming a new fruit photo
  15. 15.True or false: “past weather records” is the model. (a) True (b) False
  16. 16.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
  17. 17.Which of these is training data? (a) flagging a new email (b) old emails marked spam (c) the learned patterns (d) what training builds
  18. 18.Which of these is a prediction? (a) past weather records (b) the trained program (c) typing a new spoken word (d) old emails marked spam
  19. 19.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
  20. 20.Which of these is a prediction? (a) tomorrow’s rain guess (b) old emails marked spam (c) the trained program (d) recorded spoken words
  21. 21.True or false: “the learned patterns” is training data. (a) False (b) True
  22. 22.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) typing a new spoken word (d) recorded spoken words
  23. 23.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
  24. 24.True or false: “naming a new leaf” is the model. (a) False (b) True
  25. 25.Which of these is a prediction? (a) past weather records (b) naming a new leaf (c) 500 labelled leaf photos (d) recorded spoken words
  26. 26.True or false: “past weather records” is training data. (a) True (b) False
  27. 27.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
  28. 28.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
  29. 29.Which of these is the model? (a) typing a new spoken word (b) old emails marked spam (c) the learned patterns (d) recorded spoken words
  30. 30.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
  31. 31.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
  32. 32.Which of these is training data? (a) the trained program (b) naming a new leaf (c) the learned patterns (d) labelled fruit photos
  33. 33.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) typing a new spoken word (d) past weather records
  34. 34.True or false: “labelled fruit photos” is training data. (a) False (b) True
  35. 35.Which of these is the model? (a) the trained program (b) tomorrow’s rain guess (c) past weather records (d) typing a new spoken word
  36. 36.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  37. 37.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
  38. 38.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  39. 39.True or false: “old emails marked spam” is the model. (a) False (b) True
  40. 40.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam

Answer key

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

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