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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 818 · 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.Which of these is the model? (a) naming a new leaf (b) flagging a new email (c) the learned patterns (d) recorded spoken words
  2. 2.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
  3. 3.Which of these is training data? (a) the trained program (b) labelled fruit photos (c) tomorrow’s rain guess (d) naming a new leaf
  4. 4.Which of these is the model? (a) old emails marked spam (b) flagging a new email (c) labelled fruit photos (d) what training builds
  5. 5.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
  6. 6.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
  7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a password (d) a label error
  8. 8.True or false: “recorded spoken words” is training data. (a) True (b) False
  9. 9.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
  10. 10.⏩ 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
  11. 11.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
  12. 12.Which of these is training data? (a) old emails marked spam (b) typing a new spoken word (c) the learned patterns (d) what training builds
  13. 13.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  14. 14.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) the learned patterns (d) tomorrow’s rain guess
  15. 15.Which of these is training data? (a) 500 labelled leaf photos (b) typing a new spoken word (c) tomorrow’s rain guess (d) naming a new fruit photo
  16. 16.True or false: “the trained program” is the model. (a) True (b) False
  17. 17.Which of these is a prediction? (a) naming a new leaf (b) 500 labelled leaf photos (c) old emails marked spam (d) recorded spoken words
  18. 18.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
  19. 19.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
  20. 20.Which of these is training data? (a) what training builds (b) past weather records (c) the learned patterns (d) naming a new fruit photo
  21. 21.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  22. 22.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
  23. 23.Which of these is a prediction? (a) typing a new spoken word (b) the trained program (c) 500 labelled leaf photos (d) what training builds
  24. 24.⏩ 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
  25. 25.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
  26. 26.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
  27. 27.⏩ 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
  28. 28.True or false: “what training builds” is training data. (a) True (b) False
  29. 29.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  30. 30.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
  31. 31.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
  32. 32.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
  33. 33.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
  34. 34.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
  35. 35.True or false: “what training builds” is the model. (a) True (b) False
  36. 36.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
  37. 37.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
  38. 38.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
  39. 39.⏩ 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
  40. 40.True or false: “recorded spoken words” is the model. (a) False (b) True

Answer key

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

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