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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 664 · 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.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
  2. 2.Which of these is training data? (a) labelled fruit photos (b) typing a new spoken word (c) what training builds (d) the trained program
  3. 3.True or false: “naming a new leaf” is training data. (a) True (b) False
  4. 4.True or false: “flagging a new email” is training data. (a) True (b) False
  5. 5.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
  6. 6.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) tomorrow’s rain guess (d) past weather records
  7. 7.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
  8. 8.⏩ 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
  9. 9.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
  10. 10.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
  11. 11.True or false: “recorded spoken words” is a prediction. (a) True (b) False
  12. 12.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  13. 13.Which of these is a prediction? (a) old emails marked spam (b) naming a new leaf (c) labelled fruit photos (d) past weather records
  14. 14.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  15. 15.True or false: “naming a new fruit photo” is training data. (a) True (b) False
  16. 16.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
  17. 17.True or false: “the trained program” is training data. (a) False (b) True
  18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
  19. 19.True or false: “the learned patterns” is the model. (a) False (b) True
  20. 20.True or false: “labelled fruit photos” is training data. (a) False (b) True
  21. 21.Which of these is the model? (a) past weather records (b) 500 labelled leaf photos (c) naming a new fruit photo (d) the learned patterns
  22. 22.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
  23. 23.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) flagging a new email (d) tomorrow’s rain guess
  24. 24.True or false: “past weather records” is training data. (a) False (b) True
  25. 25.Which of these is the model? (a) old emails marked spam (b) typing a new spoken word (c) what training builds (d) tomorrow’s rain guess
  26. 26.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
  27. 27.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
  28. 28.Which of these is a prediction? (a) flagging a new email (b) what training builds (c) old emails marked spam (d) labelled fruit photos
  29. 29.Which of these is a prediction? (a) typing a new spoken word (b) the learned patterns (c) old emails marked spam (d) labelled fruit photos
  30. 30.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  31. 31.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  32. 32.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
  33. 33.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
  34. 34.Which of these is training data? (a) typing a new spoken word (b) the learned patterns (c) what training builds (d) recorded spoken words
  35. 35.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  36. 36.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
  37. 37.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
  38. 38.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
  39. 39.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
  40. 40.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False

Answer key

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

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