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AI Worksheet: Training Data, Model, Prediction

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

Answer key

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

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