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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 135 · 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) naming a new fruit photo (b) tomorrow’s rain guess (c) old emails marked spam (d) the learned patterns
  2. 2.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
  3. 3.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  4. 4.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
  5. 5.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
  6. 6.Which of these is the model? (a) the learned patterns (b) labelled fruit photos (c) tomorrow’s rain guess (d) 500 labelled leaf photos
  7. 7.Which of these is training data? (a) past weather records (b) the trained program (c) the learned patterns (d) tomorrow’s rain guess
  8. 8.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) the trained program (d) 500 labelled leaf photos
  9. 9.True or false: “recorded spoken words” is the model. (a) False (b) True
  10. 10.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  11. 11.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
  12. 12.True or false: “typing a new spoken word” is training data. (a) False (b) True
  13. 13.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
  14. 14.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
  15. 15.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
  16. 16.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  17. 17.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
  18. 18.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  19. 19.True or false: “what training builds” is training data. (a) True (b) False
  20. 20.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
  21. 21.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  22. 22.True or false: “flagging a new email” is training data. (a) True (b) False
  23. 23.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  24. 24.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  25. 25.True or false: “the learned patterns” is the model. (a) False (b) True
  26. 26.Which of these is training data? (a) labelled fruit photos (b) the learned patterns (c) what training builds (d) the trained program
  27. 27.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
  28. 28.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
  29. 29.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
  30. 30.Which of these is training data? (a) tomorrow’s rain guess (b) typing a new spoken word (c) the learned patterns (d) recorded spoken words
  31. 31.⏩ 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
  32. 32.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  33. 33.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
  34. 34.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) 500 labelled leaf photos (d) naming a new leaf
  35. 35.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  36. 36.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
  37. 37.True or false: “the trained program” is training data. (a) True (b) False
  38. 38.True or false: “the trained program” is the model. (a) True (b) False
  39. 39.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  40. 40.Which of these is the model? (a) naming a new leaf (b) flagging a new email (c) what training builds (d) past weather records

Answer key

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

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