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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 846 · 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.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
  2. 2.🔮 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
  3. 3.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  4. 4.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  5. 5.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
  6. 6.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
  7. 7.True or false: “past weather records” is training data. (a) False (b) True
  8. 8.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
  9. 9.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
  10. 10.True or false: “naming a new leaf” is training data. (a) False (b) True
  11. 11.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
  12. 12.True or false: “naming a new fruit photo” is training data. (a) False (b) True
  13. 13.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  14. 14.⏩ 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
  15. 15.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
  16. 16.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
  17. 17.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new leaf (c) old emails marked spam (d) recorded spoken words
  18. 18.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  19. 19.True or false: “old emails marked spam” is training data. (a) True (b) False
  20. 20.True or false: “typing a new spoken word” is training data. (a) False (b) True
  21. 21.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  22. 22.Which of these is the model? (a) what training builds (b) recorded spoken words (c) typing a new spoken word (d) labelled fruit photos
  23. 23.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
  24. 24.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
  25. 25.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  26. 26.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
  27. 27.True or false: “recorded spoken words” is a prediction. (a) False (b) True
  28. 28.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
  29. 29.Which of these is a prediction? (a) the trained program (b) naming a new fruit photo (c) labelled fruit photos (d) recorded spoken words
  30. 30.True or false: “recorded spoken words” is training data. (a) True (b) False
  31. 31.Which of these is training data? (a) labelled fruit photos (b) the trained program (c) naming a new leaf (d) naming a new fruit photo
  32. 32.True or false: “flagging a new email” is a prediction. (a) True (b) False
  33. 33.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
  34. 34.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  35. 35.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  36. 36.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
  37. 37.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  38. 38.Which of these is a prediction? (a) what training builds (b) past weather records (c) flagging a new email (d) recorded spoken words
  39. 39.Which of these is the model? (a) past weather records (b) the learned patterns (c) 500 labelled leaf photos (d) recorded spoken words
  40. 40.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess

Answer key

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

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