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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 873 · 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: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  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) old emails marked spam (b) the learned patterns (c) naming a new fruit photo (d) labelled fruit photos
  4. 4.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
  5. 5.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
  6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
  7. 7.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
  8. 8.True or false: “flagging a new email” is a prediction. (a) False (b) True
  9. 9.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
  10. 10.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
  11. 11.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
  12. 12.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
  13. 13.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
  14. 14.True or false: “what training builds” is training data. (a) False (b) True
  15. 15.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) naming a new leaf (d) recorded spoken words
  16. 16.Which of these is training data? (a) the trained program (b) what training builds (c) old emails marked spam (d) the learned patterns
  17. 17.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
  18. 18.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
  19. 19.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
  20. 20.Which of these is the model? (a) the learned patterns (b) recorded spoken words (c) flagging a new email (d) old emails marked spam
  21. 21.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
  22. 22.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
  23. 23.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
  24. 24.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  25. 25.Which of these is a prediction? (a) old emails marked spam (b) the trained program (c) labelled fruit photos (d) flagging a new email
  26. 26.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
  27. 27.True or false: “past weather records” is training data. (a) False (b) True
  28. 28.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  29. 29.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  30. 30.True or false: “recorded spoken words” is the model. (a) True (b) False
  31. 31.Which of these is training data? (a) the learned patterns (b) naming a new fruit photo (c) labelled fruit photos (d) tomorrow’s rain guess
  32. 32.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) recorded spoken words (d) naming a new leaf
  33. 33.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  34. 34.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  35. 35.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
  36. 36.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
  37. 37.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
  38. 38.True or false: “naming a new fruit photo” is training data. (a) True (b) False
  39. 39.True or false: “the trained program” is the model. (a) False (b) True
  40. 40.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos

Answer key

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

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