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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 95 · 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 training data? (a) the learned patterns (b) typing a new spoken word (c) naming a new leaf (d) past weather records
  2. 2.🔮 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
  3. 3.True or false: “the trained program” is a prediction. (a) True (b) False
  4. 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  5. 5.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
  6. 6.Which of these is training data? (a) the learned patterns (b) naming a new fruit photo (c) old emails marked spam (d) tomorrow’s rain guess
  7. 7.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
  8. 8.Which of these is a prediction? (a) flagging a new email (b) the trained program (c) past weather records (d) 500 labelled leaf photos
  9. 9.True or false: “past weather records” is a prediction. (a) True (b) False
  10. 10.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
  11. 11.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
  12. 12.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
  13. 13.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  14. 14.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
  15. 15.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
  16. 16.True or false: “labelled fruit photos” is the model. (a) False (b) True
  17. 17.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
  18. 18.⏩ 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
  19. 19.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  20. 20.Which of these is the model? (a) naming a new fruit photo (b) old emails marked spam (c) naming a new leaf (d) the trained program
  21. 21.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
  22. 22.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  23. 23.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
  24. 24.Which of these is training data? (a) recorded spoken words (b) tomorrow’s rain guess (c) the learned patterns (d) what training builds
  25. 25.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
  26. 26.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
  27. 27.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
  28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  29. 29.Which of these is the model? (a) past weather records (b) what training builds (c) tomorrow’s rain guess (d) recorded spoken words
  30. 30.True or false: “typing a new spoken word” is the model. (a) True (b) False
  31. 31.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
  32. 32.True or false: “recorded spoken words” is training data. (a) True (b) False
  33. 33.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
  34. 34.True or false: “what training builds” is training data. (a) False (b) True
  35. 35.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
  36. 36.Which of these is the model? (a) the learned patterns (b) recorded spoken words (c) old emails marked spam (d) 500 labelled leaf photos
  37. 37.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
  38. 38.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
  39. 39.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  40. 40.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data

Answer key

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

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