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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 89 · 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.True or false: “labelled fruit photos” is the model. (a) False (b) True
  2. 2.⏩ 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
  3. 3.True or false: “flagging a new email” is a prediction. (a) True (b) False
  4. 4.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) old emails marked spam (d) what training builds
  5. 5.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
  6. 6.True or false: “naming a new fruit photo” is training data. (a) False (b) True
  7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
  8. 8.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) what training builds (d) 500 labelled leaf photos
  9. 9.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
  10. 10.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
  11. 11.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
  12. 12.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
  13. 13.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
  14. 14.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
  15. 15.True or false: “the learned patterns” is the model. (a) True (b) False
  16. 16.Which of these is the model? (a) old emails marked spam (b) what training builds (c) 500 labelled leaf photos (d) typing a new spoken word
  17. 17.True or false: “the trained program” is training data. (a) False (b) True
  18. 18.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  19. 19.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
  20. 20.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
  21. 21.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
  22. 22.Which of these is a prediction? (a) typing a new spoken word (b) labelled fruit photos (c) the trained program (d) old emails marked spam
  23. 23.True or false: “the learned patterns” is training data. (a) False (b) True
  24. 24.Which of these is the model? (a) the trained program (b) past weather records (c) naming a new leaf (d) flagging a new email
  25. 25.True or false: “naming a new fruit photo” is the model. (a) True (b) False
  26. 26.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  27. 27.True or false: “recorded spoken words” is the model. (a) True (b) False
  28. 28.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  29. 29.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
  30. 30.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
  31. 31.True or false: “recorded spoken words” is a prediction. (a) True (b) False
  32. 32.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
  33. 33.True or false: “past weather records” is a prediction. (a) True (b) False
  34. 34.Which of these is the model? (a) the learned patterns (b) naming a new fruit photo (c) 500 labelled leaf photos (d) flagging a new email
  35. 35.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
  36. 36.Which of these is a prediction? (a) recorded spoken words (b) what training builds (c) naming a new fruit photo (d) past weather records
  37. 37.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) naming a new leaf (d) past weather records
  38. 38.Which of these is a prediction? (a) 500 labelled leaf photos (b) flagging a new email (c) the learned patterns (d) recorded spoken words
  39. 39.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
  40. 40.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds

Answer key

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

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