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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 502 · 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: “the learned patterns”? (a) a prediction (b) the model (c) training data
  2. 2.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
  3. 3.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
  4. 4.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  5. 5.True or false: “labelled fruit photos” is the model. (a) True (b) False
  6. 6.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  7. 7.⏩ 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
  8. 8.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) labelled fruit photos (d) naming a new leaf
  9. 9.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
  10. 10.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  11. 11.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
  12. 12.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  13. 13.Which of these is training data? (a) tomorrow’s rain guess (b) recorded spoken words (c) what training builds (d) the trained program
  14. 14.Which of these is training data? (a) naming a new fruit photo (b) past weather records (c) typing a new spoken word (d) tomorrow’s rain guess
  15. 15.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
  16. 16.⏩ 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
  17. 17.Which of these is the model? (a) what training builds (b) labelled fruit photos (c) typing a new spoken word (d) flagging a new email
  18. 18.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) tomorrow’s rain guess (d) what training builds
  19. 19.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) naming a new leaf (d) 500 labelled leaf photos
  20. 20.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
  21. 21.Which of these is the model? (a) the trained program (b) typing a new spoken word (c) tomorrow’s rain guess (d) naming a new leaf
  22. 22.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
  23. 23.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
  24. 24.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
  25. 25.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
  26. 26.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
  27. 27.True or false: “past weather records” is training data. (a) True (b) False
  28. 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  29. 29.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
  30. 30.Which of these is a prediction? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) what training builds (d) the learned patterns
  31. 31.Which of these is a prediction? (a) recorded spoken words (b) what training builds (c) 500 labelled leaf photos (d) naming a new leaf
  32. 32.True or false: “the learned patterns” is the model. (a) False (b) True
  33. 33.⏩ 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
  34. 34.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
  35. 35.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
  36. 36.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
  37. 37.True or false: “naming a new fruit photo” is the model. (a) True (b) False
  38. 38.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
  39. 39.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
  40. 40.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data

Answer key

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

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