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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 398 · 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.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
  2. 2.⏩ 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
  3. 3.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
  4. 4.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
  5. 5.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  6. 6.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
  7. 7.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  8. 8.Which of these is the model? (a) labelled fruit photos (b) the trained program (c) naming a new fruit photo (d) recorded spoken words
  9. 9.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
  10. 10.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
  11. 11.True or false: “flagging a new email” is a prediction. (a) True (b) False
  12. 12.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  13. 13.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
  14. 14.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) typing a new spoken word (d) labelled fruit photos
  15. 15.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
  16. 16.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
  17. 17.True or false: “past weather records” is a prediction. (a) False (b) True
  18. 18.Which of these is the model? (a) naming a new fruit photo (b) the learned patterns (c) labelled fruit photos (d) 500 labelled leaf photos
  19. 19.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
  20. 20.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
  21. 21.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  22. 22.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
  23. 23.Which of these is training data? (a) the learned patterns (b) recorded spoken words (c) what training builds (d) naming a new fruit photo
  24. 24.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
  25. 25.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) flagging a new email (d) labelled fruit photos
  26. 26.True or false: “what training builds” is training data. (a) False (b) True
  27. 27.⏩ 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
  28. 28.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  29. 29.True or false: “the trained program” is training data. (a) True (b) False
  30. 30.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  31. 31.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
  32. 32.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  33. 33.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  34. 34.⏩ 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
  35. 35.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) recorded spoken words (d) tomorrow’s rain guess
  36. 36.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) past weather records (d) what training builds
  37. 37.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
  38. 38.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  39. 39.True or false: “old emails marked spam” is training data. (a) False (b) True
  40. 40.Which of these is a prediction? (a) labelled fruit photos (b) the learned patterns (c) naming a new leaf (d) old emails marked spam

Answer key

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

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