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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 733 · 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: “past weather records” is training data. (a) False (b) True
  2. 2.True or false: “past weather records” is the model. (a) False (b) True
  3. 3.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
  4. 4.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
  5. 5.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  6. 6.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  7. 7.🧪 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
  8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
  9. 9.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
  10. 10.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
  11. 11.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  12. 12.Which of these is a prediction? (a) the learned patterns (b) recorded spoken words (c) old emails marked spam (d) typing a new spoken word
  13. 13.Which of these is a prediction? (a) recorded spoken words (b) naming a new leaf (c) past weather records (d) what training builds
  14. 14.Which of these is the model? (a) flagging a new email (b) labelled fruit photos (c) past weather records (d) the learned patterns
  15. 15.⏩ 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
  16. 16.Which of these is a prediction? (a) past weather records (b) naming a new fruit photo (c) labelled fruit photos (d) what training builds
  17. 17.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  18. 18.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
  19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
  20. 20.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
  21. 21.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  22. 22.Which of these is a prediction? (a) the learned patterns (b) recorded spoken words (c) past weather records (d) tomorrow’s rain guess
  23. 23.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
  24. 24.True or false: “typing a new spoken word” is training data. (a) False (b) True
  25. 25.Which of these is training data? (a) flagging a new email (b) the trained program (c) naming a new fruit photo (d) labelled fruit photos
  26. 26.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  27. 27.True or false: “what training builds” is training data. (a) True (b) False
  28. 28.Which of these is training data? (a) the learned patterns (b) what training builds (c) old emails marked spam (d) typing a new spoken word
  29. 29.True or false: “naming a new fruit photo” is training data. (a) True (b) False
  30. 30.True or false: “flagging a new email” is the model. (a) False (b) True
  31. 31.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
  32. 32.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
  33. 33.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  34. 34.True or false: “recorded spoken words” is training data. (a) True (b) False
  35. 35.⏩ 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
  36. 36.True or false: “old emails marked spam” is the model. (a) True (b) False
  37. 37.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
  38. 38.Which of these is a prediction? (a) what training builds (b) the trained program (c) flagging a new email (d) 500 labelled leaf photos
  39. 39.⏩ 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
  40. 40.⏩ 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

Answer key

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

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