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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 391 · 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: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
  2. 2.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
  3. 3.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
  4. 4.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
  5. 5.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
  6. 6.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
  7. 7.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
  8. 8.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  9. 9.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  10. 10.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
  11. 11.True or false: “labelled fruit photos” is the model. (a) False (b) True
  12. 12.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) typing a new spoken word (d) old emails marked spam
  13. 13.True or false: “old emails marked spam” is the model. (a) False (b) True
  14. 14.Which of these is a prediction? (a) the learned patterns (b) recorded spoken words (c) old emails marked spam (d) naming a new fruit photo
  15. 15.Which of these is a prediction? (a) past weather records (b) 500 labelled leaf photos (c) the trained program (d) tomorrow’s rain guess
  16. 16.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  17. 17.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
  18. 18.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  19. 19.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
  20. 20.Which of these is the model? (a) naming a new fruit photo (b) recorded spoken words (c) naming a new leaf (d) the learned patterns
  21. 21.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) past weather records (d) tomorrow’s rain guess
  22. 22.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
  23. 23.Which of these is training data? (a) the learned patterns (b) recorded spoken words (c) the trained program (d) naming a new leaf
  24. 24.True or false: “past weather records” is the model. (a) True (b) False
  25. 25.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
  26. 26.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
  27. 27.True or false: “labelled fruit photos” is training data. (a) True (b) False
  28. 28.Which of these is the model? (a) typing a new spoken word (b) naming a new fruit photo (c) the trained program (d) 500 labelled leaf photos
  29. 29.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) recorded spoken words (d) naming a new leaf
  30. 30.True or false: “past weather records” is training data. (a) True (b) False
  31. 31.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
  32. 32.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  33. 33.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  34. 34.⏩ 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
  35. 35.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
  36. 36.Which of these is training data? (a) flagging a new email (b) labelled fruit photos (c) naming a new leaf (d) what training builds
  37. 37.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) 500 labelled leaf photos (d) naming a new fruit photo
  38. 38.True or false: “the trained program” is training data. (a) False (b) True
  39. 39.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
  40. 40.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records

Answer key

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

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