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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 283 · 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 training data? (a) 500 labelled leaf photos (b) the learned patterns (c) tomorrow’s rain guess (d) what training builds
  2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  3. 3.Which of these is a prediction? (a) 500 labelled leaf photos (b) past weather records (c) typing a new spoken word (d) the trained program
  4. 4.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  5. 5.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
  6. 6.True or false: “what training builds” is a prediction. (a) True (b) False
  7. 7.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  8. 8.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
  9. 9.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
  10. 10.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
  11. 11.⏩ 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
  12. 12.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  13. 13.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
  14. 14.Which of these is the model? (a) tomorrow’s rain guess (b) labelled fruit photos (c) naming a new fruit photo (d) the trained program
  15. 15.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
  16. 16.Which of these is the model? (a) old emails marked spam (b) 500 labelled leaf photos (c) the learned patterns (d) flagging a new email
  17. 17.⏩ 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
  18. 18.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
  19. 19.True or false: “labelled fruit photos” is training data. (a) False (b) True
  20. 20.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
  21. 21.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
  22. 22.Which of these is training data? (a) the learned patterns (b) the trained program (c) labelled fruit photos (d) what training builds
  23. 23.True or false: “naming a new leaf” is training data. (a) True (b) False
  24. 24.True or false: “flagging a new email” is a prediction. (a) True (b) False
  25. 25.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
  26. 26.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
  27. 27.Which of these is a prediction? (a) flagging a new email (b) past weather records (c) labelled fruit photos (d) 500 labelled leaf photos
  28. 28.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  29. 29.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  30. 30.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  31. 31.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  32. 32.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
  33. 33.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  34. 34.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
  35. 35.True or false: “recorded spoken words” is the model. (a) True (b) False
  36. 36.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
  37. 37.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
  38. 38.⏩ 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
  39. 39.True or false: “past weather records” is the model. (a) False (b) True
  40. 40.Which of these is a prediction? (a) past weather records (b) the learned patterns (c) old emails marked spam (d) naming a new leaf

Answer key

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

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