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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 527 · 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: “what training builds”? (a) the model (b) training data (c) a prediction
  2. 2.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
  3. 3.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
  4. 4.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
  5. 5.True or false: “labelled fruit photos” is the model. (a) False (b) True
  6. 6.True or false: “past weather records” is training data. (a) True (b) False
  7. 7.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  8. 8.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  9. 9.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  10. 10.True or false: “flagging a new email” is training data. (a) True (b) False
  11. 11.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
  12. 12.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  13. 13.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
  14. 14.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  15. 15.⏩ 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
  16. 16.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
  17. 17.True or false: “naming a new leaf” is training data. (a) True (b) False
  18. 18.⏩ 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
  19. 19.🔮 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
  20. 20.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
  21. 21.Which of these is a prediction? (a) past weather records (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) labelled fruit photos
  22. 22.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
  23. 23.Which of these is a prediction? (a) typing a new spoken word (b) 500 labelled leaf photos (c) labelled fruit photos (d) the trained program
  24. 24.Which of these is the model? (a) past weather records (b) old emails marked spam (c) 500 labelled leaf photos (d) the learned patterns
  25. 25.Which of these is training data? (a) naming a new leaf (b) the trained program (c) the learned patterns (d) old emails marked spam
  26. 26.True or false: “naming a new fruit photo” is the model. (a) True (b) False
  27. 27.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
  28. 28.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
  29. 29.Which of these is the model? (a) naming a new fruit photo (b) past weather records (c) what training builds (d) old emails marked spam
  30. 30.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
  31. 31.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  32. 32.True or false: “typing a new spoken word” is training data. (a) True (b) False
  33. 33.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
  34. 34.True or false: “labelled fruit photos” is training data. (a) False (b) True
  35. 35.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
  36. 36.True or false: “the trained program” is the model. (a) False (b) True
  37. 37.True or false: “typing a new spoken word” is the model. (a) True (b) False
  38. 38.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  40. 40.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True

Answer key

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

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