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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 393 · 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) the trained program (b) the learned patterns (c) what training builds (d) old emails marked spam
  2. 2.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
  3. 3.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
  4. 4.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
  5. 5.True or false: “naming a new leaf” is training data. (a) True (b) False
  6. 6.True or false: “labelled fruit photos” is training data. (a) True (b) False
  7. 7.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
  8. 8.Which of these is training data? (a) what training builds (b) labelled fruit photos (c) the trained program (d) naming a new leaf
  9. 9.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  10. 10.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  11. 11.True or false: “naming a new fruit photo” is the model. (a) True (b) False
  12. 12.Which of these is training data? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) the learned patterns
  13. 13.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new leaf (c) flagging a new email (d) past weather records
  14. 14.Which of these is a prediction? (a) labelled fruit photos (b) tomorrow’s rain guess (c) past weather records (d) old emails marked spam
  15. 15.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  16. 16.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
  17. 17.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
  18. 18.True or false: “old emails marked spam” is a prediction. (a) False (b) True
  19. 19.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  20. 20.Which of these is a prediction? (a) past weather records (b) the learned patterns (c) flagging a new email (d) recorded spoken words
  21. 21.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
  22. 22.True or false: “typing a new spoken word” is the model. (a) False (b) True
  23. 23.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
  24. 24.Which of these is a prediction? (a) naming a new leaf (b) recorded spoken words (c) the learned patterns (d) old emails marked spam
  25. 25.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  26. 26.Which of these is a prediction? (a) typing a new spoken word (b) recorded spoken words (c) 500 labelled leaf photos (d) old emails marked spam
  27. 27.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
  28. 28.True or false: “the trained program” is training data. (a) True (b) False
  29. 29.True or false: “old emails marked spam” is the model. (a) True (b) False
  30. 30.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  31. 31.True or false: “old emails marked spam” is training data. (a) False (b) True
  32. 32.Which of these is the model? (a) naming a new leaf (b) the trained program (c) typing a new spoken word (d) tomorrow’s rain guess
  33. 33.Which of these is training data? (a) recorded spoken words (b) tomorrow’s rain guess (c) the learned patterns (d) the trained program
  34. 34.True or false: “recorded spoken words” is training data. (a) False (b) True
  35. 35.Which of these is a prediction? (a) naming a new fruit photo (b) what training builds (c) past weather records (d) the learned patterns
  36. 36.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  37. 37.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
  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.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
  40. 40.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns

Answer key

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

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