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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 615 · 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: “recorded spoken words” is the model. (a) True (b) False
  2. 2.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
  3. 3.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
  4. 4.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
  5. 5.Which of these is a prediction? (a) recorded spoken words (b) past weather records (c) 500 labelled leaf photos (d) flagging a new email
  6. 6.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
  7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
  8. 8.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
  9. 9.Which of these is the model? (a) recorded spoken words (b) what training builds (c) typing a new spoken word (d) flagging a new email
  10. 10.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  11. 11.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
  12. 12.Which of these is the model? (a) typing a new spoken word (b) naming a new leaf (c) flagging a new email (d) the trained program
  13. 13.True or false: “past weather records” is a prediction. (a) True (b) False
  14. 14.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
  15. 15.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
  16. 16.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
  17. 17.True or false: “past weather records” is training data. (a) False (b) True
  18. 18.True or false: “the trained program” is training data. (a) True (b) False
  19. 19.Which of these is training data? (a) flagging a new email (b) labelled fruit photos (c) what training builds (d) typing a new spoken word
  20. 20.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
  21. 21.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
  22. 22.True or false: “labelled fruit photos” is training data. (a) False (b) True
  23. 23.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
  24. 24.Which of these is training data? (a) old emails marked spam (b) naming a new leaf (c) naming a new fruit photo (d) the trained program
  25. 25.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
  26. 26.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  27. 27.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
  28. 28.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  29. 29.Which of these is training data? (a) typing a new spoken word (b) recorded spoken words (c) tomorrow’s rain guess (d) the trained program
  30. 30.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  31. 31.Which of these is the model? (a) tomorrow’s rain guess (b) naming a new leaf (c) recorded spoken words (d) the learned patterns
  32. 32.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
  33. 33.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  34. 34.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  35. 35.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  36. 36.True or false: “naming a new leaf” is the model. (a) False (b) True
  37. 37.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
  38. 38.True or false: “flagging a new email” is the model. (a) False (b) True
  39. 39.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  40. 40.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words

Answer key

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

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