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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 559 · 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 a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) the trained program (d) flagging a new email
  2. 2.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
  3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
  4. 4.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
  5. 5.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  6. 6.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  7. 7.True or false: “recorded spoken words” is training data. (a) False (b) True
  8. 8.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  9. 9.True or false: “labelled fruit photos” is training data. (a) True (b) False
  10. 10.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
  11. 11.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
  12. 12.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
  13. 13.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) naming a new leaf (d) recorded spoken words
  14. 14.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
  15. 15.⏩ 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
  16. 16.Which of these is the model? (a) labelled fruit photos (b) the trained program (c) flagging a new email (d) 500 labelled leaf photos
  17. 17.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
  18. 18.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) old emails marked spam (d) the learned patterns
  19. 19.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
  20. 20.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
  21. 21.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
  22. 22.True or false: “the trained program” is the model. (a) True (b) False
  23. 23.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  24. 24.True or false: “what training builds” is a prediction. (a) True (b) False
  25. 25.Which of these is a prediction? (a) recorded spoken words (b) naming a new fruit photo (c) the trained program (d) labelled fruit photos
  26. 26.True or false: “past weather records” is training data. (a) False (b) True
  27. 27.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  28. 28.True or false: “old emails marked spam” is the model. (a) True (b) False
  29. 29.True or false: “the learned patterns” is the model. (a) False (b) True
  30. 30.True or false: “recorded spoken words” is the model. (a) False (b) True
  31. 31.True or false: “naming a new leaf” is training data. (a) False (b) True
  32. 32.Which of these is the model? (a) labelled fruit photos (b) old emails marked spam (c) naming a new fruit photo (d) the learned patterns
  33. 33.Which of these is a prediction? (a) typing a new spoken word (b) the learned patterns (c) 500 labelled leaf photos (d) recorded spoken words
  34. 34.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new leaf (c) what training builds (d) the trained program
  35. 35.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
  36. 36.True or false: “what training builds” is the model. (a) True (b) False
  37. 37.True or false: “the learned patterns” is a prediction. (a) True (b) False
  38. 38.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  39. 39.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
  40. 40.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf

Answer key

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

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