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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 584 · 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: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
  2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  3. 3.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
  4. 4.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
  5. 5.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  6. 6.Which of these is a prediction? (a) the learned patterns (b) the trained program (c) old emails marked spam (d) flagging a new email
  7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
  8. 8.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  9. 9.Which of these is the model? (a) old emails marked spam (b) tomorrow’s rain guess (c) labelled fruit photos (d) what training builds
  10. 10.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
  11. 11.True or false: “typing a new spoken word” is training data. (a) True (b) False
  12. 12.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
  13. 13.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) the learned patterns (d) what training builds
  14. 14.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
  15. 15.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
  16. 16.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) naming a new fruit photo (d) recorded spoken words
  17. 17.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
  18. 18.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  20. 20.⏩ 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
  21. 21.True or false: “recorded spoken words” is the model. (a) False (b) True
  22. 22.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
  23. 23.True or false: “naming a new fruit photo” is the model. (a) True (b) False
  24. 24.⏩ 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
  25. 25.Which of these is a prediction? (a) the learned patterns (b) tomorrow’s rain guess (c) the trained program (d) old emails marked spam
  26. 26.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
  27. 27.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  28. 28.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
  29. 29.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  30. 30.True or false: “the learned patterns” is the model. (a) False (b) True
  31. 31.True or false: “flagging a new email” is a prediction. (a) True (b) False
  32. 32.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) flagging a new email (d) 500 labelled leaf photos
  33. 33.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  34. 34.True or false: “flagging a new email” is the model. (a) False (b) True
  35. 35.Which of these is the model? (a) labelled fruit photos (b) typing a new spoken word (c) the trained program (d) 500 labelled leaf photos
  36. 36.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
  37. 37.True or false: “past weather records” is training data. (a) True (b) False
  38. 38.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
  39. 39.True or false: “labelled fruit photos” is training data. (a) False (b) True
  40. 40.Which of these is a prediction? (a) recorded spoken words (b) the trained program (c) labelled fruit photos (d) naming a new fruit photo

Answer key

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

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