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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 459 · 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.Which of these is a prediction? (a) past weather records (b) the trained program (c) what training builds (d) naming a new fruit photo
  2. 2.⏩ 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
  3. 3.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
  4. 4.True or false: “labelled fruit photos” is training data. (a) True (b) False
  5. 5.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
  6. 6.Which of these is training data? (a) the learned patterns (b) past weather records (c) naming a new leaf (d) naming a new fruit photo
  7. 7.Which of these is a prediction? (a) past weather records (b) what training builds (c) flagging a new email (d) old emails marked spam
  8. 8.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) old emails marked spam (d) what training builds
  9. 9.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
  10. 10.True or false: “the learned patterns” is the model. (a) False (b) True
  11. 11.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  12. 12.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) what training builds (d) labelled fruit photos
  13. 13.Which of these is the model? (a) typing a new spoken word (b) the learned patterns (c) past weather records (d) 500 labelled leaf photos
  14. 14.True or false: “labelled fruit photos” is the model. (a) False (b) True
  15. 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
  16. 16.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
  17. 17.Which of these is training data? (a) 500 labelled leaf photos (b) typing a new spoken word (c) the trained program (d) the learned patterns
  18. 18.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  20. 20.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
  21. 21.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
  22. 22.True or false: “flagging a new email” is training data. (a) True (b) False
  23. 23.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
  24. 24.True or false: “past weather records” is training data. (a) False (b) True
  25. 25.True or false: “the trained program” is training data. (a) False (b) True
  26. 26.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
  27. 27.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
  28. 28.True or false: “what training builds” is a prediction. (a) True (b) False
  29. 29.Which of these is the model? (a) tomorrow’s rain guess (b) recorded spoken words (c) what training builds (d) 500 labelled leaf photos
  30. 30.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  31. 31.Which of these is training data? (a) typing a new spoken word (b) recorded spoken words (c) naming a new leaf (d) the learned patterns
  32. 32.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
  33. 33.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
  34. 34.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  35. 35.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  36. 36.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
  37. 37.Which of these is a prediction? (a) past weather records (b) 500 labelled leaf photos (c) naming a new leaf (d) the trained program
  38. 38.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  39. 39.Which of these is the model? (a) tomorrow’s rain guess (b) typing a new spoken word (c) the trained program (d) 500 labelled leaf photos
  40. 40.True or false: “what training builds” is the model. (a) True (b) False

Answer key

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

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