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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 131 · 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) the trained program (b) recorded spoken words (c) naming a new leaf (d) labelled fruit photos
  2. 2.Which of these is the model? (a) past weather records (b) labelled fruit photos (c) the learned patterns (d) 500 labelled leaf photos
  3. 3.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
  4. 4.True or false: “naming a new fruit photo” is the model. (a) False (b) True
  5. 5.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  6. 6.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
  7. 7.True or false: “flagging a new email” is a prediction. (a) True (b) False
  8. 8.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
  9. 9.Which of these is training data? (a) what training builds (b) naming a new leaf (c) old emails marked spam (d) typing a new spoken word
  10. 10.Which of these is a prediction? (a) past weather records (b) flagging a new email (c) old emails marked spam (d) the learned patterns
  11. 11.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  12. 12.True or false: “the trained program” is the model. (a) False (b) True
  13. 13.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  14. 14.True or false: “old emails marked spam” is the model. (a) False (b) True
  15. 15.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
  16. 16.Which of these is the model? (a) recorded spoken words (b) labelled fruit photos (c) the trained program (d) naming a new leaf
  17. 17.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
  18. 18.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) naming a new fruit photo (d) recorded spoken words
  19. 19.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) the trained program (d) 500 labelled leaf photos
  20. 20.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
  21. 21.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
  22. 22.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  23. 23.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
  24. 24.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
  25. 25.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
  26. 26.True or false: “recorded spoken words” is training data. (a) True (b) False
  27. 27.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  28. 28.Which of these is the model? (a) labelled fruit photos (b) past weather records (c) recorded spoken words (d) what training builds
  29. 29.Which of these is a prediction? (a) recorded spoken words (b) the learned patterns (c) tomorrow’s rain guess (d) past weather records
  30. 30.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  31. 31.Which of these is training data? (a) past weather records (b) naming a new fruit photo (c) typing a new spoken word (d) flagging a new email
  32. 32.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  33. 33.True or false: “the trained program” is training data. (a) False (b) True
  34. 34.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
  35. 35.True or false: “the learned patterns” is training data. (a) False (b) True
  36. 36.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
  37. 37.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  38. 38.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
  39. 39.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
  40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns

Answer key

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

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