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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 756 · 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: “flagging a new email” is training data. (a) True (b) False
  2. 2.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
  3. 3.Which of these is a prediction? (a) naming a new leaf (b) recorded spoken words (c) labelled fruit photos (d) past weather records
  4. 4.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
  5. 5.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  6. 6.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  7. 7.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
  8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
  9. 9.True or false: “what training builds” is training data. (a) False (b) True
  10. 10.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
  11. 11.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
  12. 12.Which of these is a prediction? (a) the trained program (b) past weather records (c) recorded spoken words (d) naming a new fruit photo
  13. 13.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  14. 14.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) old emails marked spam (d) typing a new spoken word
  15. 15.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
  16. 16.True or false: “the learned patterns” is a prediction. (a) False (b) True
  17. 17.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) past weather records (d) tomorrow’s rain guess
  18. 18.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  19. 19.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
  20. 20.Which of these is training data? (a) naming a new fruit photo (b) typing a new spoken word (c) labelled fruit photos (d) what training builds
  21. 21.⏩ 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
  22. 22.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
  23. 23.True or false: “naming a new leaf” is the model. (a) False (b) True
  24. 24.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  25. 25.True or false: “recorded spoken words” is training data. (a) False (b) True
  26. 26.True or false: “flagging a new email” is the model. (a) True (b) False
  27. 27.Which of these is training data? (a) the trained program (b) typing a new spoken word (c) what training builds (d) recorded spoken words
  28. 28.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
  29. 29.True or false: “flagging a new email” is a prediction. (a) False (b) True
  30. 30.⏩ 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
  31. 31.Which of these is training data? (a) naming a new leaf (b) naming a new fruit photo (c) the trained program (d) 500 labelled leaf photos
  32. 32.True or false: “recorded spoken words” is the model. (a) True (b) False
  33. 33.True or false: “what training builds” is the model. (a) False (b) True
  34. 34.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
  35. 35.True or false: “past weather records” is a prediction. (a) False (b) True
  36. 36.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
  37. 37.True or false: “the trained program” is training data. (a) True (b) False
  38. 38.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  39. 39.Which of these is the model? (a) flagging a new email (b) what training builds (c) tomorrow’s rain guess (d) past weather records
  40. 40.Which of these is the model? (a) the learned patterns (b) 500 labelled leaf photos (c) labelled fruit photos (d) past weather records

Answer key

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

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