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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 908 · 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.Which of these is training data? (a) the trained program (b) old emails marked spam (c) naming a new fruit photo (d) naming a new leaf
  2. 2.Which of these is training data? (a) tomorrow’s rain guess (b) typing a new spoken word (c) what training builds (d) recorded spoken words
  3. 3.Which of these is the model? (a) tomorrow’s rain guess (b) old emails marked spam (c) recorded spoken words (d) what training builds
  4. 4.Which of these is training data? (a) the trained program (b) past weather records (c) typing a new spoken word (d) naming a new fruit photo
  5. 5.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
  6. 6.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  7. 7.Which of these is a prediction? (a) typing a new spoken word (b) old emails marked spam (c) recorded spoken words (d) 500 labelled leaf photos
  8. 8.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
  9. 9.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
  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.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
  12. 12.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
  13. 13.True or false: “naming a new leaf” is training data. (a) True (b) False
  14. 14.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
  15. 15.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
  16. 16.True or false: “flagging a new email” is a prediction. (a) True (b) False
  17. 17.Which of these is training data? (a) 500 labelled leaf photos (b) what training builds (c) the learned patterns (d) tomorrow’s rain guess
  18. 18.Which of these is a prediction? (a) tomorrow’s rain guess (b) the trained program (c) old emails marked spam (d) 500 labelled leaf photos
  19. 19.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
  20. 20.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  21. 21.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
  22. 22.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
  23. 23.Which of these is a prediction? (a) what training builds (b) naming a new fruit photo (c) 500 labelled leaf photos (d) the learned patterns
  24. 24.Which of these is a prediction? (a) past weather records (b) naming a new leaf (c) labelled fruit photos (d) old emails marked spam
  25. 25.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
  26. 26.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  27. 27.⏩ 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
  28. 28.True or false: “the trained program” is the model. (a) True (b) False
  29. 29.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  30. 30.True or false: “what training builds” is training data. (a) True (b) False
  31. 31.True or false: “what training builds” is the model. (a) True (b) False
  32. 32.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
  33. 33.True or false: “past weather records” is training data. (a) False (b) True
  34. 34.Which of these is the model? (a) labelled fruit photos (b) the learned patterns (c) recorded spoken words (d) naming a new leaf
  35. 35.Which of these is the model? (a) past weather records (b) typing a new spoken word (c) the trained program (d) flagging a new email
  36. 36.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  37. 37.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  38. 38.⏩ 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
  39. 39.⏩ 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
  40. 40.True or false: “labelled fruit photos” is the model. (a) False (b) True

Answer key

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

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