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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 716 · 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.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
  2. 2.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
  3. 3.Which of these is the model? (a) typing a new spoken word (b) labelled fruit photos (c) flagging a new email (d) the trained program
  4. 4.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  5. 5.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  6. 6.Which of these is training data? (a) recorded spoken words (b) the learned patterns (c) the trained program (d) naming a new leaf
  7. 7.Which of these is training data? (a) what training builds (b) flagging a new email (c) the learned patterns (d) old emails marked spam
  8. 8.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
  9. 9.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  10. 10.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
  11. 11.Which of these is training data? (a) flagging a new email (b) past weather records (c) typing a new spoken word (d) naming a new fruit photo
  12. 12.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
  13. 13.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  14. 14.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
  15. 15.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) the trained program (d) 500 labelled leaf photos
  16. 16.True or false: “what training builds” is the model. (a) False (b) True
  17. 17.True or false: “the learned patterns” is training data. (a) True (b) False
  18. 18.Which of these is a prediction? (a) tomorrow’s rain guess (b) the trained program (c) 500 labelled leaf photos (d) the learned patterns
  19. 19.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
  20. 20.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
  21. 21.Which of these is the model? (a) labelled fruit photos (b) past weather records (c) recorded spoken words (d) the learned patterns
  22. 22.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
  23. 23.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
  24. 24.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) what training builds (d) typing a new spoken word
  25. 25.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
  26. 26.True or false: “recorded spoken words” is a prediction. (a) False (b) True
  27. 27.True or false: “typing a new spoken word” is training data. (a) False (b) True
  28. 28.True or false: “old emails marked spam” is training data. (a) False (b) True
  29. 29.True or false: “typing a new spoken word” is the model. (a) False (b) True
  30. 30.Which of these is the model? (a) flagging a new email (b) naming a new leaf (c) what training builds (d) past weather records
  31. 31.⏩ 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
  32. 32.Which of these is a prediction? (a) recorded spoken words (b) labelled fruit photos (c) naming a new leaf (d) old emails marked spam
  33. 33.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  34. 34.True or false: “the learned patterns” is the model. (a) True (b) False
  35. 35.Which of these is training data? (a) labelled fruit photos (b) naming a new leaf (c) tomorrow’s rain guess (d) typing a new spoken word
  36. 36.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
  37. 37.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  38. 38.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
  39. 39.⏩ 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
  40. 40.True or false: “flagging a new email” is training data. (a) False (b) True

Answer key

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

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