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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 538 · 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: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
  2. 2.True or false: “flagging a new email” is a prediction. (a) False (b) True
  3. 3.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
  4. 4.True or false: “old emails marked spam” is training data. (a) True (b) False
  5. 5.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
  6. 6.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  7. 7.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
  8. 8.Which of these is training data? (a) the trained program (b) old emails marked spam (c) the learned patterns (d) what training builds
  9. 9.True or false: “recorded spoken words” is training data. (a) False (b) True
  10. 10.True or false: “labelled fruit photos” is training data. (a) False (b) True
  11. 11.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
  12. 12.Which of these is the model? (a) typing a new spoken word (b) 500 labelled leaf photos (c) past weather records (d) what training builds
  13. 13.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
  14. 14.True or false: “naming a new fruit photo” is the model. (a) True (b) False
  15. 15.True or false: “old emails marked spam” is the model. (a) True (b) False
  16. 16.True or false: “the learned patterns” is a prediction. (a) True (b) False
  17. 17.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
  18. 18.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) labelled fruit photos (d) tomorrow’s rain guess
  19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  20. 20.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  21. 21.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
  22. 22.Which of these is a prediction? (a) labelled fruit photos (b) old emails marked spam (c) flagging a new email (d) 500 labelled leaf photos
  23. 23.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
  24. 24.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  25. 25.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
  26. 26.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
  27. 27.Which of these is a prediction? (a) old emails marked spam (b) labelled fruit photos (c) recorded spoken words (d) naming a new leaf
  28. 28.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
  29. 29.⏩ 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
  30. 30.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) past weather records (d) what training builds
  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.Which of these is the model? (a) recorded spoken words (b) naming a new leaf (c) the learned patterns (d) 500 labelled leaf photos
  33. 33.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
  34. 34.⏩ 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
  35. 35.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
  36. 36.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
  37. 37.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
  38. 38.⏩ 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
  39. 39.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
  40. 40.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos

Answer key

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

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