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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 456 · 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) flagging a new email (b) old emails marked spam (c) naming a new fruit photo (d) the learned patterns
  2. 2.True or false: “flagging a new email” is a prediction. (a) True (b) False
  3. 3.Which of these is the model? (a) the learned patterns (b) past weather records (c) naming a new leaf (d) naming a new fruit photo
  4. 4.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
  5. 5.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
  6. 6.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  7. 7.Which of these is the model? (a) 500 labelled leaf photos (b) what training builds (c) tomorrow’s rain guess (d) old emails marked spam
  8. 8.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
  9. 9.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
  10. 10.Which of these is training data? (a) naming a new fruit photo (b) recorded spoken words (c) typing a new spoken word (d) what training builds
  11. 11.True or false: “labelled fruit photos” is training data. (a) False (b) True
  12. 12.True or false: “flagging a new email” is the model. (a) True (b) False
  13. 13.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
  14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
  15. 15.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
  16. 16.Which of these is the model? (a) the trained program (b) tomorrow’s rain guess (c) past weather records (d) labelled fruit photos
  17. 17.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
  18. 18.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
  19. 19.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  20. 20.Which of these is a prediction? (a) past weather records (b) naming a new fruit photo (c) the trained program (d) what training builds
  21. 21.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
  22. 22.True or false: “naming a new fruit photo” is training data. (a) False (b) True
  23. 23.Which of these is training data? (a) what training builds (b) 500 labelled leaf photos (c) flagging a new email (d) naming a new leaf
  24. 24.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  25. 25.Which of these is a prediction? (a) the learned patterns (b) recorded spoken words (c) labelled fruit photos (d) typing a new spoken word
  26. 26.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) past weather records (d) flagging a new email
  27. 27.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
  28. 28.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
  29. 29.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
  30. 30.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
  31. 31.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
  32. 32.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  33. 33.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  34. 34.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
  35. 35.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
  36. 36.True or false: “what training builds” is training data. (a) True (b) False
  37. 37.Which of these is a prediction? (a) tomorrow’s rain guess (b) old emails marked spam (c) the learned patterns (d) recorded spoken words
  38. 38.True or false: “old emails marked spam” is training data. (a) True (b) False
  39. 39.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
  40. 40.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data

Answer key

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

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