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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 900 · 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.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  3. 3.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
  4. 4.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
  5. 5.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
  6. 6.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
  7. 7.⏩ 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
  8. 8.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  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.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
  12. 12.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
  13. 13.True or false: “the learned patterns” is the model. (a) True (b) False
  14. 14.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
  15. 15.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
  16. 16.Which of these is a prediction? (a) flagging a new email (b) what training builds (c) labelled fruit photos (d) recorded spoken words
  17. 17.Which of these is a prediction? (a) tomorrow’s rain guess (b) past weather records (c) the trained program (d) labelled fruit photos
  18. 18.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
  19. 19.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) past weather records (d) naming a new fruit photo
  20. 20.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  21. 21.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
  22. 22.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
  23. 23.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
  24. 24.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
  25. 25.True or false: “the trained program” is training data. (a) False (b) True
  26. 26.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  27. 27.Which of these is the model? (a) old emails marked spam (b) naming a new leaf (c) past weather records (d) the trained program
  28. 28.Which of these is training data? (a) the learned patterns (b) what training builds (c) naming a new leaf (d) old emails marked spam
  29. 29.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  30. 30.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) the trained program (d) flagging a new email
  31. 31.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
  32. 32.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  33. 33.Which of these is training data? (a) naming a new leaf (b) what training builds (c) past weather records (d) naming a new fruit photo
  34. 34.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
  35. 35.True or false: “labelled fruit photos” is the model. (a) True (b) False
  36. 36.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
  37. 37.True or false: “flagging a new email” is training data. (a) True (b) False
  38. 38.⏩ 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
  39. 39.True or false: “old emails marked spam” is the model. (a) True (b) False
  40. 40.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word

Answer key

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

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