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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 564 · 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) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
  2. 2.⏩ 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
  3. 3.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  4. 4.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
  5. 5.True or false: “naming a new leaf” is training data. (a) False (b) True
  6. 6.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
  7. 7.True or false: “past weather records” is a prediction. (a) True (b) False
  8. 8.Which of these is a prediction? (a) past weather records (b) what training builds (c) 500 labelled leaf photos (d) naming a new fruit photo
  9. 9.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) flagging a new email (d) what training builds
  10. 10.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
  11. 11.True or false: “the learned patterns” is the model. (a) False (b) True
  12. 12.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
  13. 13.Which of these is training data? (a) naming a new fruit photo (b) flagging a new email (c) naming a new leaf (d) past weather records
  14. 14.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
  15. 15.Which of these is a prediction? (a) 500 labelled leaf photos (b) typing a new spoken word (c) past weather records (d) old emails marked spam
  16. 16.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  17. 17.True or false: “typing a new spoken word” is training data. (a) True (b) False
  18. 18.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  19. 19.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
  20. 20.True or false: “what training builds” is a prediction. (a) True (b) False
  21. 21.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
  22. 22.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
  23. 23.Which of these is training data? (a) 500 labelled leaf photos (b) the trained program (c) flagging a new email (d) the learned patterns
  24. 24.True or false: “recorded spoken words” is the model. (a) True (b) False
  25. 25.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  26. 26.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  27. 27.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
  28. 28.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
  29. 29.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
  30. 30.Which of these is a prediction? (a) what training builds (b) the learned patterns (c) labelled fruit photos (d) naming a new leaf
  31. 31.True or false: “labelled fruit photos” is training data. (a) False (b) True
  32. 32.True or false: “recorded spoken words” is training data. (a) True (b) False
  33. 33.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
  34. 34.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
  35. 35.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
  36. 36.True or false: “old emails marked spam” is training data. (a) True (b) False
  37. 37.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  38. 38.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
  39. 39.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
  40. 40.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data

Answer key

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

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