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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 217 · 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.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
  2. 2.Which of these is a prediction? (a) old emails marked spam (b) tomorrow’s rain guess (c) the trained program (d) the learned patterns
  3. 3.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
  4. 4.⏩ 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
  5. 5.Which of these is training data? (a) naming a new leaf (b) typing a new spoken word (c) what training builds (d) 500 labelled leaf photos
  6. 6.Which of these is the model? (a) recorded spoken words (b) flagging a new email (c) the trained program (d) naming a new fruit photo
  7. 7.True or false: “old emails marked spam” is the model. (a) True (b) False
  8. 8.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
  9. 9.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
  10. 10.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  11. 11.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  12. 12.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
  13. 13.True or false: “naming a new leaf” is the model. (a) False (b) True
  14. 14.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
  15. 15.Which of these is the model? (a) 500 labelled leaf photos (b) recorded spoken words (c) labelled fruit photos (d) what training builds
  16. 16.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
  17. 17.Which of these is a prediction? (a) 500 labelled leaf photos (b) flagging a new email (c) what training builds (d) the trained program
  18. 18.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  19. 19.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  20. 20.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
  21. 21.True or false: “past weather records” is the model. (a) True (b) False
  22. 22.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
  23. 23.True or false: “past weather records” is training data. (a) True (b) False
  24. 24.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
  25. 25.True or false: “labelled fruit photos” is training data. (a) False (b) True
  26. 26.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  27. 27.True or false: “recorded spoken words” is training data. (a) True (b) False
  28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
  29. 29.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  30. 30.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  31. 31.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
  32. 32.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
  33. 33.True or false: “typing a new spoken word” is the model. (a) True (b) False
  34. 34.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
  35. 35.Which of these is training data? (a) what training builds (b) the trained program (c) labelled fruit photos (d) the learned patterns
  36. 36.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  37. 37.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  38. 38.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
  39. 39.True or false: “what training builds” is training data. (a) True (b) False
  40. 40.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False

Answer key

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

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